A review of different optimisation techniques for solving single and multi-objective optimisation problem in power system and mostly unit commitment problem

References

• Aalami, H. A., M. Parsa Moghaddam, and G. R. Yousefi. 2010. “Modeling and Prioritizing Demand Response Programs in Power Markets.” Electric Power Systems Research 80 (4): 426–435.
   Web of Science ®Google Scholar
• Abdmouleh, Zeineb, Adel Gastli, Lazhar Ben-Brahim, Mohamed Haouari, and Nasser Ahmed Al-Emadi. 2017. “Review of Optimization Techniques Applied for the Integration of Distributed Generation from Renewable Energy Sources.” Renewable Energy 113: 266–280.
   Web of Science ®Google Scholar
• Abedi, S., A. Alimardani, G. B. Gharehpetian, G. H. Riahy, and S. H. Hosseinian. 2012. “A Comprehensive Method for Optimal Power Management and Design of Hybrid RES-Based Autonomous Energy Systems.” Renewable & Sustainable Energy Reviews 16 (3): 1577–1587.
   Web of Science ®Google Scholar
• Acha, S., T. Green, and N. Shah. 2010. “Effects of Optimised Plug-in Hybrid Vehicle Charging Strategies on Electric Distribution Network Losses.” IEEE PES Transmission and Distribution Conference and Exposition: 1–6.
   Google Scholar
• Aghaei, J., and M. Alizadeh. 2013a. “Critical Peak Pricing with Load Control Demand Response Program in Unit Commitment Problem.” IET Generation, Transmission & Distribution 7 (7): 681–690.
   Web of Science ®Google Scholar
• Aghaei, Jamshid, and Mohammad-Iman Alizadeh. 2013b. “Multi-Objective Self-Scheduling of CHP (Combined Heat and Power)-Based Microgrids Considering Demand Response Programs and ESSs (Energy Storage Systems).” Energy 55: 1044–1054.
   Web of Science ®Google Scholar
• Aghdaie, Mohammad Hasan, Sarfaraz Hashemkhani Zolfani, and Edmundas Kazimieras Zavadskas. 2013. “Market Segment Evaluation and Selection Based on Application of Fuzzy AHP and COPRAS-G Methods.” Journal of Business Economics and Management 14 (1): 213–233.
   Web of Science ®Google Scholar
• Ahmadi, Saeedeh, and Shirzad Abdi. 2016. “Application of the Hybrid Big Bang–Big Crunch Algorithm for Optimal Sizing of a Stand-Alone Hybrid PV/Wind/Battery System.” Solar Energy 134: 366–374.
   Web of Science ®Google Scholar
• Ahmadi, A., A. Esmaeel Nezhad, and B. Hredzak. 2019, January. “Security-Constrained Unit Commitment in Presence of Lithium-Ion Battery Storage Units Using Information-Gap Decision Theory.” IEEE Transactions on Industrial Informatics 15 (1): 148–157.
   Web of Science ®Google Scholar
• Aldaouab, Ibrahim, Malcolm Daniels, and Raúl Ordóñez. 2018. “Model Predictive Control Energy Dispatch to Optimize Renewable Penetration for a Microgrid with Battery and Thermal Storage.” Texas Power and Energy Conference (TPEC), IEEE, 1–6.
   Google Scholar
• Al-Saadi, M. K., P. C. K. Luk, and W. Fei. 2016. “Impact of Unit Commitment on the Optimal Operation of Hybrid Microgrids.” 2016 UKACC 11th International Conference on Control (CONTROL), Belfast, 1–6.
   Google Scholar
• Alsayed, Mohammed, Mario Cacciato, Giuseppe Scarcella, and Giacomo Scelba. 2013. “Multicriteria Optimal Sizing of Photovoltaic-Wind Turbine Grid Connected Systems.” IEEE Transactions on Energy Conversion 28 (2): 370–379.
   Web of Science ®Google Scholar
• Alvarez, M., S. K. Rönnberg, J. Bermúdez, J. Zhong, and M. H. J. Bollen. 2019, January. “A Generic Storage Model Based on a Future Cost Piecewise-Linear Approximation.” IEEE Transactions on Smart Grid 10 (1): 878–888.
   Web of Science ®Google Scholar
• Andervazh, Mohammad-Reza, and Shahram Javadi. 2017. “Emission-Economic Dispatch of Thermal Power Generation Units in the Presence of Hybrid Electric Vehicles and Correlated Wind Power Plants.” IET Generation, Transmission & Distribution 11 (9): 2232–2243.
   Web of Science ®Google Scholar
• Atmaca, Ediz, and Hasan Burak Basar. 2012. “Evaluation of Power Plants in Turkey Using Analytic Network Process (ANP).” Energy 44 (1): 555–563.
   Web of Science ®Google Scholar
• Awan, F., H. Michalska, and G. Joos. 2017. “Economic Dispatch in Microgrids Using Compromise Solution Method.” IEEE Manchester PowerTech, Manchester, 1–6.
   Google Scholar
• Azizipanah-Abarghooee, R., T. Niknam, M. Gharibzadeh, and F. Golestaneh. 2013. “Robust Fast and Optimal Solution of Practical Economic Dispatch by a new Enhanced Gradient-Based Simplified Swarm Optimisation Algorithm.” IET Gener. Transm. Distrib 7 (6): 620–635.
   Web of Science ®Google Scholar
• Azizipanah-Abarghooee, R., T. Niknam, A. Roosta, A. R. Malekpour, and M. Zare. 2012. “Probabilistic Multi-Objective Wind-Thermal Economic Emission Dispatch Based on Point Estimated Method.” Energy 37 (1): 322–335.
   Web of Science ®Google Scholar
• Azizipanah-Abarghooee, R., T. Niknam, M. Zare, and M. Gharibzadeh. 2014, May. “Multi-Objective Short-Term Scheduling of Thermoelectric Power Systems Using a Novel Multi-Objective θ-Improved Cuckoo Optimisation Algorithm.” IET Gener. Transm. Distrib 8 (5): 873–894.
   Web of Science ®Google Scholar
• Bavafa, M., H. Monsef, and N. Navidi. 2009. “A New Hybrid Approach for Unit Commitment Using Lagrangian Relaxation Combined with Evolutionary and Quadratic Programming.” Asia-Pacific Power and Energy Engineering Conference, Wuhan, 2009, 1–6.
   Google Scholar
• Bertsimas, D., E. Litvinov, X. A. Sun, J. Zhao, and T. Zheng. 2013. “Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem.” IEEE Transactions on Power Systems 28 (1): 52–63.
   Web of Science ®Google Scholar
• Biyik, E., and R. Chandra. 2014. “Optimal Control of Microgrids - Algorithms and Field Implementation.” American Control Conference, Portland, OR, 2014, 5003–5009.
   Google Scholar
• Bora, T. C., L. S. Coelho, and L. Lebensztajn. 2012. “Bat-Inspired Optimization Approach for the Brushless dc Wheel Motor Problem.” IEEE Trans. Magnet 48 (2): 947–950.
   Web of Science ®Google Scholar
• Borra, V. S., and K. Debnath. 2018. “Dynamic Programming for Solving Unit Commitment and Security Problems in Microgrid Systems.” IEEE International Conference on Innovative Research and Development (ICIRD), Bangkok, 1–6.
   Google Scholar
• Brown, Paul D., J. A. Peças Lopes, and Manuel A. Matos. 2008. “Optimization of Pumped Storage Capacity in an Isolated Power System with Large Renewable Penetration.” IEEE Transactions on Power Systems 23 (2): 523–531.
   Web of Science ®Google Scholar
• Caballero, Rafael, Francisco Ruiz, M. Victoria Rodríguez Uría, and Carlos Romero. 2006. “Interactive Meta-Goal Programming.” European Journal of Operational Research 175 (1): 135–154.
   Web of Science ®Google Scholar
• Caballero, Rafael, Francisco Ruiz, M. Victoria Rodríguez Uría, and Carlos Romero. 2018. “Optimal Design of Microgrid’s Network Topology and Location of the Distributed Renewable Energy Resources Using the Harmony Search Algorithm.” In Soft Computing, 1–16. Berlin: Springer.
   Google Scholar
• Cau, G., D. Cocco, M. Petrollese, S. Knudsen Kær, and C. Milan. 2014. “Energy Management Strategy Based on Short-Term Generation Scheduling for a Renewable Microgrid Using a Hydrogen Storage System.” Energy Convers Manag 87: 820–831.
   Web of Science ®Google Scholar
• Chakhar, Salem, and Inè S. Saad. 2012. “Dominance-Based Rough Set Approach for Groups in Multicriteria Classification Problems.” Decision Support Systems 54 (1): 372–380.
   Web of Science ®Google Scholar
• Chandram, K., N. Subrahmanyam, and M. Sydulu. 2008. “New Approach with Secant Method for Solving Unit Commitment Problem.” IEEE/PES Transmission and Distribution Conference and Exposition, Chicago, IL, 1–7.
   Google Scholar
• Chandrasekaran, K., and Sishaj P. Simon. 2012. “Multi-Objective Unit Commitment Problem with Reliability Function Using Fuzzified Binary Real Coded Artificial bee Colony Algorithm.” IET Generation, Transmission & Distribution 6 (10): 1060–1073.
   Web of Science ®Google Scholar
• Chandrasekaran, K., S. Simon, and N. Padhy. 2014. “SCUC Problem for Solar/Thermal Power System Addressing Smart Grid Issues Using FF Algorithm.” International Journal of Electrical Power & Energy Systems 62: 450–460.
   Web of Science ®Google Scholar
• Chedid, R., H. Akiki, and Saifur Rahman. 1998. “A Decision Support Technique for the Design of Hybrid Solar-Wind Power Systems.” IEEE Transactions on Energy Conversion 13 (1): 76–83.
   Web of Science ®Google Scholar
• Chen, Y., F. Liu, B. Liu, W. Wei, and S. Mei. 2016. “An Efficient MILP Approximation for the Hydro-Thermal Unit Commitment.” IEEE Transactions on Power Systems 31 (4): 3318–3319.
   Web of Science ®Google Scholar
• Chen, Xinyu, Jiajun Lv, Michael B. McElroy, Xingning Han, Chris P. Nielsen, and Jinyu Wen. 2018, November. “Power System Capacity Expansion Under Higher Penetration of Renewables Considering Flexibility Constraints and Low Carbon Policies.” IEEE Transactions on Power Systems 33 (6): 6240–6253.
   Web of Science ®Google Scholar
• Chen, Z., L. Wu, and M. Shahidehpour. 2015. “Effective Load Carrying Capability Evaluation of Renewable Energy via Stochastic Long-Term Hourly Based SCUC.” IEEE Transactions on Sustainable Energy 6 (1): 188–197.
   Web of Science ®Google Scholar
• Choudhary, Devendra, and Ravi Shankar. 2012. “An STEEP-Fuzzy AHP-TOPSIS Framework for Evaluation and Selection of Thermal Power Plant Location: A Case Study from India.” Energy 42 (1): 510–521.
   Web of Science ®Google Scholar
• Chung, C., H. Yu, and K. Wong. 2011. “An Advanced Quantum-Inspired Evolutionary Algorithm for Unit Commitment.” Power Systems IEEE Transactions on 26 (2): 847–854.
   Web of Science ®Google Scholar
• Cinelli, Marco, Stuart R. Coles, and Kerry Kirwan. 2014. “Analysis of the Potentials of Multi Criteria Decision Analysis Methods to Conduct Sustainability Assessment.” Ecological Indicators 46: 138–148.
   Web of Science ®Google Scholar
• Cohen, A. I., V. Brandwajn, and S. K. Chang. 1999. “Security Constrained Unit Commitment for Open Market.” Proc. 21st IEEE Power Eng. Soc. Int. Conf. Power Ind. Comput. Applicat.: 39–44.
   Google Scholar
• Cohen, A. I., and S. H. Wan. 1987. “A Method for Solving the Fuel Constrained Unit Commitment Problem.” IEEE Transactions on Power Systems, PWRS 2: 608–614.
   Web of Science ®Google Scholar
• Columbus, C. C., K. Chandrasekaran, and S. P. Simon. 2012. “Nodal ant Colony Optimization for Solving Profit Based Unit Commitment Problem for GENCOs.” Applied Soft Computing 12 (1): 145–160.
   Web of Science ®Google Scholar
• Cordova, S., H. Rudnick, A. Lorca, and V. J. Martinez. 2018, October. “An Efficient Forecasting-Optimization Scheme for the Intra-Day Unit Commitment Process Under Significant Wind and Solar Power.” IEEE Transactions on Sustainable Energy 9 (4): 1899–1909.
   Web of Science ®Google Scholar
• Correa-Posada, C. M., G. Morales-España, P. Dueñas, and P. Sánchez-Martín. 2017. “Dynamic Ramping Model Including Intraperiod Ramp-Rate Changes in Unit Commitment.” IEEE Transactions on Sustainable Energy 8 (1): 43–50.
   Web of Science ®Google Scholar
• Criswell, David R., and Russell G. Thompson. 1996. “Data Envelopment Analysis of Space and Terrestrially-Based Large Scale Commercial Power Systems for Earth: A Prototype Analysis of their Relative Economic Advantages.” Solar Energy 56 (1): 119–131.
   Web of Science ®Google Scholar
• Dagdougui, H., R. Minciardi, A. Ouammi, M. Robba, and R. Sacile. 2010. “A Dynamic Decision Model for the Real-Time Control of Hybrid Renewable Energy Production Systems.” IEEE Systems Journal 4 (3): 323–333.
   Web of Science ®Google Scholar
• Damousis, I. G., A. G. Bakirtzis, and P. S. Dokopoulos. 2004. “A Solution to the Unit-Commitment Problem Using Integer-Coded Genetic Algorithm.” IEEE Transactions on Power Systems 19 (2): 1165–1172.
   Web of Science ®Google Scholar
• Das Adhikary, Debasis, Goutam Kumar Bose, Dipankar Bose, and Souren Mitra. 2014. “Multi Criteria FMECA for Coal-Fired Thermal Power Plants Using COPRAS-G.” International Journal of Quality & Reliability Management 31 (5): 601–614.
   Google Scholar
• Du, E., N. Zhang, B.-M. Hodge, Q. Wang, Z. Lu, C. Kang, B. Kroposki, and Q. Xia. 2019, January. “Operation of a High Renewable Penetrated Power System with CSP Plants: A Look-Ahead Stochastic Unit Commitment Model.” IEEE Transactions on Power Systems 34 (1): 140–151.
   Web of Science ®Google Scholar
• Dufo-López, R., J. L. Bernal-Agustín, and J. Contreras. 2007. “Optimization of Control Strategies for Stand-Alone Renewable Energy Systems with Hydrogen Storage.” Renewable Energy 32 (7): 1102–1126.
   Web of Science ®Google Scholar
• Eajal, A. A., E. F. El-Saadany, M. F. Shaaban, and K. Ponnambalam. 2015. “Stochastic Energy Coordination in Hybrid AC/DC Smart Grids.” IEEE Electrical Power and Energy Conference (EPEC), London, ON, 158–163.
   Google Scholar
• Ebrahimi, J., S. H. Hosseinian, and G. B. Gharehpetian. 2011. “Unit Commitment Problem Solution Using Shuffled Frog Leaping Algorithm.” IEEE Trans. Power Syst 26 (2): 573–581.
   Web of Science ®Google Scholar
• Ezzati, S. M., G. R. Yousefi, M. M. Pedram, and M. Baghdadi. 2010. “Security-Constrained Unit Commitment Based on Hybrid Benders Decomposition and Mixed Integer Non-Linear Programming.” IEEE International Energy Conference, Manama, 233–237.
   Google Scholar
• Fan, Miao, Kai Sun, Derek Lane, Wei Gu, Zhengshuo Li, and Fang Zhang. 2018, May. “A Novel Generation Rescheduling Algorithm to Improve Power System Reliability with High Renewable Energy Penetration.” IEEE Transactions on Power Systems 30 (3): 3349–3357.
   Web of Science ®Google Scholar
• Fernandez-Ramírez, L. M., P. Garcıa-Tribiño, A. J. Gil-mena, F. Llorens-iborra, F. Jurado, and C. A. García-V-azquez. 2016. “Optimized Operation Combining Costs, Efficiency and Lifetime of a Hybrid Renewable Energy System with Energy Storage by Battery and Hydrogen in Grid-Connected Applications.” International Journal of Hydrogen Energy 41: 23132–23144.
   Web of Science ®Google Scholar
• Furukakoi, Masahiro, Oludamilare Bode Adewuyi, Hidehito Matayoshi, Abdul Motin Howlader, and Tomonobu Senjyu. 2018. “Multi Objective Unit Commitment with Voltage Stability and PV Uncertainty.” Applied Energy 228: 618–623.
   Web of Science ®Google Scholar
• García-Triviño, P., F. Llorens-Iborra, C. A. García-Vázquez, A. J. Gil-Mena, L. M. FernándezRamírez, and F. Jurado. 2014. “Long-Term Optimization Based on PSO of a Grid-Connected Renewable Energy/Battery/Hydrogen Hybrid System.” International Journal of Hydrogen Energy 39 (21): 10805–10816.
   Web of Science ®Google Scholar
• Ghorbani, Narges, Alibakhsh Kasaeian, Ashkan Toopshekan, Leyli Bahrami, and Amin Maghami. 2018. “Optimizing a Hybrid Wind-PV-Battery System Using GA-PSO and MOPSO for Reducing Cost and Increasing Reliability.” Energy 154: 581–591.
   Web of Science ®Google Scholar
• Gijengedal, T. 1996. “Emission Constrained Unit Commitment.” IEEE Transactions on Energy Conversion 11 (1): 132–138.
   Web of Science ®Google Scholar
• Gokalp, O., and A. Uğur. 2017. “An Order Based Hybrid Metaheuristic Algorithm for Solving Optimization Problems.” International Conference on Computer Science and Engineering (UBMK), Antalya, 604–609.
   Google Scholar
• Guitouni, Adel, and Jean-Marc Martel. 1998. “Tentative Guidelines to Help Choosing an Appropriate MCDA Method.” European Journal of Operational Research 109 (2): 501–521.
   Web of Science ®Google Scholar
• Gupta, P., P. Jain, S. Sharma, and R. Bhakar. 2017. “Reliability-Security Constrained Unit Commitment based on benders decomposition and Mixed Integer Non-Linear Programming.” International Conference on Computer, Communications and Electronics (Comptelix), Jaipur, 328–333.
   Google Scholar
• Hajimiragha, A. H., M. R. Dadash Zadeh, and S. Moazeni. 2015. “Microgrids Frequency Control Considerations Within the Framework of the Optimal Generation Scheduling Problem.” IEEE Transactions on Smart Grid 6 (2): 534–547.
   Web of Science ®Google Scholar
• Hargreaves, J. J., and B. F. Hobbs. 2012. “Commitment and Dispatch With Uncertain Wind Generation by Dynamic Programming.” IEEE Transactions on Sustainable Energy 3 (4): 724–734.
   Web of Science ®Google Scholar
• Hatata, A. Y., G. Osman, and M. M. Aladl. 2018. “An Optimization Method for Sizing a Solar/Wind/Battery Hybrid Power System Based on the Artificial Immune System.” Sustainable Energy Technologies and Assessments 27: 83–93.
   Web of Science ®Google Scholar
• Heidelberg, H., D. De Macedo Braz, and B. A. De Souza. 2011. “Distribution Network Reconfiguration Using Genetic Algorithms with Sequential Encoding: Subtractive and Additive Approaches.” IEEE Trans. Power Syst 26 (2): 582–593.
   Web of Science ®Google Scholar
• Hezam, Ibrahim, Mohamed Abdel-Baset, and Bayoumi Hassan. 2016. “A Hybrid Flower Pollination Algorithm with Tabu Search for Unconstrained Optimization Problems.” Inf. Sci. Lett 5: 29–34.
   Google Scholar
• Hou, Jianmin, and Dequn Zhou. 2011. “Study on Influence Factors of Distributed Energy System Based on DEMATEL and ISM.” International Journal of Nonlinear Science 12 (1): 36–41.
   Google Scholar
• Hsu, Yuan-Yin, Chung-Ching Su, Chih-Chien Liang, Chia-Jen Lin, and Chiang-Tsung Huang. 1991. “Dynamic Security Constrained Multi-Area Unit Commitment.” IEEE Transactions on Power Systems 6 (3): 1049–1055.
   Web of Science ®Google Scholar
• Jaddi, N. S., S. Abdullah, and A. R. Hamdan. 2015. “Optimization of Neural Network Model Using Modified Bat-Inspired.” Applied Soft Computing 37: 71–86.
   Web of Science ®Google Scholar
• Jato-Espino, Daniel, Elena Castillo-Lopez, Jorge Rodriguez-Hernandez, and Juan Carlos Canteras-Jordana. 2014. “A Review of Application of Multi-Criteria Decision Making Methods in Construction.” Automation in Construction 45: 151–162.
   Web of Science ®Google Scholar
• Javaid, N., I. Ullah, S. S. Zarin, M. Kamal, B. Omoniwa, and A. Mateen. 2018. Differential-Evolution-Earthworm Hybrid Meta-heuristic Optimization Technique for Home Energy Management System in Smart Grid. International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 15–31. Cham: Springer.
   Google Scholar
• Jeong, Y., J. Park, S. Jang, and K. Y. Lee. 2010. “A New Quantum-Inspired Binary PSO: Application to Unit Commitment Problems for Power Systems.” IEEE Transactions on Power Systems 25 (3): 1486–1495.
   Web of Science ®Google Scholar
• Ji, B., X. Yuan, Z. Chen, and H. Tian. 2014. “Improved Gravitational Search Algorithm for Unit Commitment Considering Uncertainty of Wind Power.” Energy 67: 52–62.
   Web of Science ®Google Scholar
• Jin, C., X. Sheng, and P. Ghosh. 2014. “Optimized Electric Vehicle Charging With Intermittent Renewable Energy Sources.” IEEE Journal of Selected Topics in Signal Processing 8 (6): 1063–1072.
   Web of Science ®Google Scholar
• Jong, Choi Hyun, Nadya Medina, Nisrina Fakhriyah, Cecep Hidayat, and Sambudi Hamali. 2018. “Using Goal Programming Method for Optimization of Production Planning.” International Conference on Information Management and Technology (ICIMTech), 1–9. IEEE.
   Google Scholar
• Jun, Dong, Feng Tian-tian, Yang Yi-sheng, and Ma Yu. 2014. “Macro-Site Selection of Wind/Solar Hybrid Power Station Based on ELECTRE-II.” Renewable and Sustainable Energy Reviews 35: 194–204.
   Web of Science ®Google Scholar
• Kabir, Golam, and Razia Sultana Sumi. 2014. “Power Substation Location Selection Using Fuzzy Analytic Hierarchy Process and PROMETHEE: A Case Study from Bangladesh.” Energy 72: 717–730.
   Web of Science ®Google Scholar
• Kaddah, S. S., K. M. Abo-Al-Ez, T. F. Megahed, and M. G. Osman. 2015. “Probabilistic Unit Commitment in Multi-Area Grids with High Renewable Energy Penetration by Using Dynamic Programming Based on Neural Network.” International Conference on Renewable Power Generation (RPG 2015), Beijing, 1–6.
   Google Scholar
• Kamboj, V. K., and S. K. Bath. 2016. “A Solution to Energy and Environmental Problems of Electric Power System Using Hybrid Harmony Search-Random Search Optimization Algorithm.” Cogent Engineering 3 (1): 1175059.
   Web of Science ®Google Scholar
• Kamboj, V. K., S. K. Bath, and J. S. Dhillon. 2016. “Implementation of Hybrid Harmony Search/Random Search Algorithm for Single Area Unit Commitment Problem.” International Journal of Electrical Power & Energy Systems 77: 228–249.
   Web of Science ®Google Scholar
• Kamboj, V. K., S. K. Bath, and J. S. Dhillon. 2017. “A Novel Hybrid DE–Random Search Approach for Unit Commitment Problem.” Neural Computing and Applications 28 (7): 1559–1581.
   Web of Science ®Google Scholar
• Kang, Qi, ShuWei Feng, MengChu Zhou, Ahmed Chiheb Ammari, and Khaled Sedraoui. 2017. “Optimal Load Scheduling of Plug-in Hybrid Electric Vehicles via Weight-Aggregation Multi-Objective Evolutionary Algorithms.” IEEE Transactions on Intelligent Transportation Systems 18 (9): 2557–2568.
   Web of Science ®Google Scholar
• Kaya, Tolga, and Cengiz Kahraman. 2010. “Multicriteria Renewable Energy Planning Using an Integrated Fuzzy VIKOR & AHP Methodology: The Case of Istanbul.” Energy 35 (6): 2517–2527.
   Web of Science ®Google Scholar
• Keršuliene, Violeta, Edmundas Kazimieras Zavadskas, and Zenonas Turskis. 2010. “Selection of Rational Dispute Resolution Method by Applying new Step-Wise Weight Assessment Ratio Analysis (SWARA).” Journal of Business Economics and Management 11 (2): 243–258.
   Web of Science ®Google Scholar
• Khalid, Adia, Nadeem Javaid, Abdul Mateen, Bilal Khalid, Zahoor Ali Khan, and Umar Qasim. 2016. Demand Side Management Using Hybrid Bacterial Foraging and Genetic Algorithm Optimization Techniques.” Conference, 10th, 244–250.
   Google Scholar
• Khan, Saad Saleem, Muhammad Awais Rafiq, Hussain Shareef, and Muhammad Khurram Sultan. 2018 “Parameter Optimization of PEMFC Model Using Backtracking Search Algorithm.” 5th International Conference on Renewable Energy: Generation and Applications (ICREGA).
   Google Scholar
• Khodaei, A., and M. Shahidehpour. 2010. “Transmission Switching in Security-Constrained Unit Commitment.” IEEE Transactions on Power Systems 25 (4): 1937–1945.
   Web of Science ®Google Scholar
• Kim, Tai-Yoo, Seung-Jun Kwak, and Seung-Hoon Yoo. 1998. “Applying Multi-Attribute Utility Theory to Decision Making in Environmental Planning: A Case Study of the Electric Utility in Korea.” Journal of Environmental Planning and Management 41 (5): 597–609.
   Google Scholar
• Koken, P., H. Seok, and S. W. Yoon. 2018. “A Simulated Annealing Algorithm with Neighbourhood List for Capacitated Dynamic Lot-Sizing Problem with Returns and Hybrid Products.” International Journal of Computer Integrated Manufacturing 31 (8): 739–747.
   Web of Science ®Google Scholar
• Kolios, Athanasios, Varvara Mytilinou, Estivaliz Lozano-Minguez, and Konstantinos Salonitis. 2016. “A Comparative Study of Multiple-Criteria Decision-Making Methods Under Stochastic Inputs.” Energies 9 (7): 566.
   Web of Science ®Google Scholar
• Kuloor, S., G. S. Hope, and O. P. Malik. 1992. “Environmentally Constrained Unit Commitment. IEEE Proceedings Generation.” Transmission and Distribution 139 (2): 122–128.
   Web of Science ®Google Scholar
• Kumar, S. K. N., and P. Renuga. 2009. “Reactive Power Planning Using Differential Evolution: Comparison with Real GA and Evolutionary Programming.” Int J Recent Trends Eng 2 (5): 130–134.
   Google Scholar
• Kumar, Abhishek, Bikash Sah, Arvind R. Singh, Yan Deng, Xiangning He, Praveen Kumar, and R. C. Bansal. 2017. “A Review of Multi Criteria Decision Making (MCDM) Towards Sustainable Renewable Energy Development.” Renewable and Sustainable Energy Reviews 69: 596–609.
   Web of Science ®Google Scholar
• Kunche, P., Reddy K. V. Heuristic, and Meta-Heuristic Optimization. 2016. InMetaheuristic Applications to Speech Enhancement, 17–24. Cham: Springer.
   Google Scholar
• Kuo, C. 2008. “A Novel Coding Scheme for Practical Economic Dispatch by Modified Particle Swarm Approach.” IEEE Transactions on Power Systems 23 (4): 1825–1835.
   Web of Science ®Google Scholar
• Kuoa, C. C., and Y. C. Sheimb. 2011. “Unit Commitment with Energy Dispatch Using a Computationally Efficient Encoding Structure.” Energy Convers. Manage 52 (3): 1575–1582.
   Web of Science ®Google Scholar
• Lee, F. N. 1989. “A Fuel Constrained Unit Commitment Method.” IEEE Transactions on Power Systems 4 (3): 1208–1218.
   Web of Science ®Google Scholar
• Lee, F. N., and Q. Feng. 1992. “Multi Area Unit Commitment.” IEEE Transactions on Power Systems 7 (2): 591–598.
   Web of Science ®Google Scholar
• Lee, F. N., J. Huang, and R. Adapa. 1994. “Multi-Area Unit Commitment via Sequential Method and a dc Power Flow Network Model.” IEEE Transactions on Power Systems 9: 279–287.
   Web of Science ®Google Scholar
• Lei, Xuejiao, Xiaohong Guan, and Qiaozhu Zhai. 2016. “Constructing Valid Inequalities by Analytical Feasibility Conditions on Unit Commitment with Transmission Constraints.” IEEE Transactions on Power Systems 31 (5): 3484–3494.
   Web of Science ®Google Scholar
• Lei, X., E. Lerch, and C. Y. Xie. 2002. “Frequency Security Constrained Short Term Unit Commitment.” Elect. Power Syst. Res 60: 193–200. [LN84].
   Web of Science ®Google Scholar
• Leou, R., and Y. Chang. 2005. “A Price-Based Unit Commitment Model Considering Uncertainties.” TENCON 2005 - 2005 IEEE Region 10 Conference, Melbourne, Qld., 1–5. E. C. Finardi and E. L. da Silva, “Solving the hydro unit commitment problem via dual decomposition and sequential quadratic programming.” IEEE Transactions on Power Systems 21 (2): 835–844, May 2006.
   Google Scholar
• Li, Y., N. Pedroni, and E. Zio. 2013. “A Memetic Evolutionary Multi-Objective Optimization Method for Environmental Power Unit Commitment.” IEEE Transactions on Power Systems 28 (3): 2660–2669.
   Web of Science ®Google Scholar
• Li, M., X. Wang, Y. Gong, Y. Yang, and C. Jiang. 2014a. “Binary Glowworm Swarm Optimization for Unit Commitment.” Journal of Modern Power Systems and Clean Energy 2 (4): 357–365.
   Web of Science ®Google Scholar
• Li, Y. Z., Q. H. Wu, M. S. Li, and J. P. Zhan. 2014b. “Mean-Variance Model for Power System Economic Dispatch with Wind Power Integrated.” Energy 72: 510–520.
   Web of Science ®Google Scholar
• Li, Yanlin, Kaigui Xie, Lingfeng Wang, and Yingmeng Xiang. 2018. “The Impact of PHEVs Charging and Network Topology Optimization on Bulk Power System Reliability.” Electric Power Systems Research 163: 85–97.
   Web of Science ®Google Scholar
• Liao, Jun, Yi Jiang, Jun Li, Yuxin Liao, Huafei Du, Weiyu Zhu, and Lanchuan Zhang. 2018. “An Improved Energy Management Strategy of Hybrid Photovoltaic/Battery/Fuel Cell System for Stratospheric Airship.” Acta Astronautica 152: 727–739.
   Web of Science ®Google Scholar
• Lin, Zhenzhi, Fushuan Wen, and Yusheng Xue. 2009. “Sensitivity Analysis on the Values and Weights of Indices in Power System Black-Start Decision-Making.” Automation of Electric Power Systems 9 (33): 20–25.
   Google Scholar
• Linares, Pedro. 2002. “Multiple Criteria Decision Making and Risk Analysis as Risk Management Tools for Power Systems Planning.” IEEE Transactions on Power Systems 17 (3): 895–900.
   Web of Science ®Google Scholar
• Liu, C., J. Wang, A. Botterud, Y. Zhou, and A. Vyas. 2012. “Assessment of Impacts of PHEV Charging Patterns on Wind-Thermal Scheduling by Stochastic Unit Commitment.” IEEE Transactions on Smart Grid 3 (2): 675–683.
   Web of Science ®Google Scholar
• López Sanz, Jorge, and Carlos Ocampo-Martinez. 2017. “Jesús Andrés Álvarez Flórez, Juan Manuel Moreno Eguilaz, and Rafael Ruiz Mansilla. “Thermal Management in Plug-in Hybrid Electric Vehicles: A Real-Time Nonlinear Model Predictive Control Implementation.”.” IEEE Transactions on Vehicular Technology 66 (9): 7751–7760.
   Web of Science ®Google Scholar
• Lotfjou, A., M. Shahidehpour, Yong Fu, and Zuyi Li. 2010. “Security-Constrained Unit Commitment with AC/DC Transmission Systems.” IEEE Transactions on Power Systems 25 (1): 531–542.
   Web of Science ®Google Scholar
• Luthra, Sunil, Kannan Govindan, Ravinder K. Kharb, and Sachin Kumar Mangla. 2016. “Evaluating the Enablers in Solar Power Developments in the Current Scenario Using Fuzzy DEMATEL: An Indian Perspective.” Renewable and Sustainable Energy Reviews 63: 379–397.
   Web of Science ®Google Scholar
• Ma, Jianping, and Jin Jiang. 2011. “Applications of Fault Detection and Diagnosis Methods in Nuclear Power Plants: A Review.” Progress in Nuclear Energy 53 (3): 255–266.
   Web of Science ®Google Scholar
• Machado, F., J. P. F. Trovão, and C. H. Antunes. 2016. “Effectiveness of Supercapacitors in Pure Electric Vehicles Using a Hybrid Metaheuristic Approach.” IEEE Transactions on Vehicular Technology 65 (1): 29–36.
   Web of Science ®Google Scholar
• Maheri, A. 2016. “Effect Of Dispatch Strategy On The Performance Of Hybrid Wind-Pv-Battery-Diesel-Fuel Cell Systems.” Journal of Thermal Engineering 4 (4): 820–825.
   Google Scholar
• Mahmoudabadi, A., and M. Rashidinejad. 2013. “An Application of Hybrid Heuristic Method to Solve Concurrent Transmission Network Expansion and Reactive Power Planning.” International Journal of Electrical Power & Energy Systems 45 (1): 71–77.
   Web of Science ®Google Scholar
• Maleki, Akbar, and Fathollah Pourfayaz. 2015. “Optimal Sizing of Autonomous Hybrid Photovoltaic/Wind/Battery Power System with LPSP Technology by Using Evolutionary Algorithms.” Solar Energy 115: 471–483.
   Web of Science ®Google Scholar
• Mallipeddi, R., and P. Suganthan. 2014. “Unit Commitment—a Survey and Comparison of Conventional and Nature Inspired Algorithms.” International Journal of Bio-Inspired Computation 6 (2): 71–90.
   Web of Science ®Google Scholar
• Mardani, Abbas, Ahmad Jusoh, Khalil MD Nor, Zainab Khalifah, Norhayati Zakwan, and Alireza Valipour. 2015. “Multiple Criteria Decision-Making Techniques and their Applications–a Review of the Literature from 2000 to 2014.” Economic Research-Ekonomska Istraživanja 28 (1): 516–571.
   Web of Science ®Google Scholar
• Marrouchi, S., M. B. Hessine, and S. Chebbi. 2017. “Unit Commitment Scheduling Using Hybrid Metaheuristic and Deterministic Methods: Theoretical Investigation and Comparative Study. Advanced Systems and Electric Technologies (IC_ASET).” International Conference on January 14, 250–255. IEEE.
   Google Scholar
• Moghaddam, A. A., A. Seifi, T. Niknam, and M. R. Alizadeh Pahlavani. 2011. “Multi-Objective Operation Management of a Renewable MG (Micro-Grid) with Back-up Micro-Turbine/Fuel Cell/Battery Hybrid Power Source.” Energy 36 (11): 6490–6507.
   Web of Science ®Google Scholar
• Mollahassani-pour, Mojgan, Masoud Rashidinejad, and Amir Abdollahi. 2016. “Responsive Loads Effects on Maintenance Scheduling of Generators Using Lexicographic Technique.” Thermal Power Plants (CTPP), 6th Conference on, 46–51. IEEE.
   Google Scholar
• Momoh, James A., and J. Z. Zhu. 1998. “Application of AHP/ANP to Unit Commitment in the Deregulated Power Industry.” In SMC’98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No. 98CH36218), Vol. 1, 817–822. IEEE.
   Google Scholar
• Moradi, Mohammad Hassan, Mohammad Abedini, and S. Mahdi Hosseinian. 2015. “Improving Operation Constraints of Microgrid Using PHEVs and Renewable Energy Sources.” Renewable Energy 83: 543–552.
   Web of Science ®Google Scholar
• Moravej, Z., and H. Afshar. 2014. “Optimal Planning of Microgrid Using Multi Criteria Decision Analysis.” International Journal of Multidisciplinary Sciences and Engineering 5 (8): 1–6.
   Google Scholar
• Nazari-Heris, M., B. Mohammadi-Ivatloo, and G. B. Gharehpetian. 2018. “A Comprehensive Review of Heuristic Optimization Algorithms for Optimal Combined Heat and Power Dispatch from Economic and Environmental Perspectives.” Renewable and Sustainable Energy Reviews 81: 2128–2143.
   Web of Science ®Google Scholar
• Niknam, T., R. Azizipanah-Abarghooee, M. Zare, and B. Bahmani-Firouzi. 2013. “Reserve Constrained Dynamic Environmental/Economic Dispatch: A New Multiobjective Self-Adaptive Learning bat Algorithm.” IEEE Syst. J 7 (4): 763–776.
   Web of Science ®Google Scholar
• Orumie, U. C., and D. W. Ebong. 2013. “An Efficient Method of Solving Lexicographic Linear Goal Programming Problem.” International Journal of Scientific and Research Publications 3: 1–8.
   Google Scholar
• Ouyang, Z., and S. M. Shahidehpour. 1991. “Heuristic Multi-Area Unit Commitment with Economic Dispatch.” IEE Proceedings C - Generation, Transmission and Distribution 138 (3): 242–252.
   Web of Science ®Google Scholar
• Ozdemir, Gokcen, and Nurhan Karaboga. 2017. “A Review on the Cosine Modulated Filter Bank Studies Using Meta-Heuristic Optimization Algorithms.” Artif Intell Rev (Springer), December. doi:https://doi.org/10.1007/s10462-017-9595-x.
   Google Scholar
• Ozkis, Ahmet, and Ahmet Babalik. 2017. “A Novel Metaheuristic for Multi-Objective Optimization Problems: The Multi-Objective Vortex Search Algorithm.” Information Sciences. doi: https://doi.org/10.1016/j.ins.2017.03.026
   Web of Science ®Google Scholar
• Papadopoulos, Agis, and Avraam Karagiannidis. 2008. “Application of the Multi-Criteria Analysis Method Electre III for the Optimisation of Decentralised Energy Systems.” Omega 36 (5): 766–776.
   Web of Science ®Google Scholar
• Pappala, V. S., I. Erlich, K. Rohrig, and J. Dobschinski. 2009. “A Stochastic Model for the Optimal Operation of a Wind-Thermal Power System.” IEEE Trans. Power Syst 24 (2): 940–950.
   Web of Science ®Google Scholar
• Parisio, A., E. Rikos, and L. Glielmo. 2014. “A Model Predictive Control Approach to Microgrid Operation Optimization.” IEEE Transactions on Control Systems Technology 22 (5): 1813–1827.
   Web of Science ®Google Scholar
• Phadke, A. R., M. Fozdar, and K. R. Niazi. 2012. “A new Multi-Objective Fuzzy-GA Formulation for Optimal Placement and Sizing of Shunt FACTS Controller.” International Journal of Electrical Power & Energy Systems 40 (1): 46–53.
   Web of Science ®Google Scholar
• Pillai, Ajit C., Philipp R. Thies, and Lars Johanning. 2017. “Development of a Multi-Objective Genetic Algorithm for the Design of Offshore Renewable Energy Systems.” World Congress of Structural and Multidisciplinary Optimisation, 2013–2026. Springer, Cham, 2017.
   Google Scholar
• Piras, A., A. Germond, B. Buchenel, K. Imhof, and Y. Jaccard. 1996. “Heterogeneous Artificial Neural Network for Short Term Electrical Load Forecasting.” IEEE Transactions on Power Systems 11 (1): 397–402.
   Web of Science ®Google Scholar
• Pohekar, S. D., and M. Ramachandran. 2004. “Application of Multi-Criteria Decision Making to Sustainable Energy Planning—a Review.” Renewable and Sustainable Energy Reviews 8 (4): 365–381.
   Web of Science ®Google Scholar
• Qiang, X., B. Zhou, and Q. Jiang. 2012. “Alternative Formulations for Unit Commitment.” Power Engineering and Automation Conference, Wuhan, 1–6.
   Google Scholar
• Quan, Ran, Jinbao Jian, Haiyan Zheng, and Linfeng Yang. 2008. “A Two-Stage Method with Mixed Integer Quadratic Programming for Unit Commitment with Ramp Constraints.” IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 374–378.
   Google Scholar
• Rabbanifar, P., and S. Jadid. 2014. “Stochastic Multi-Objective Tie-Line Power Flow and Frequency Control in Market Clearing of Multi-Area Electricity Markets Considering Power System Security.” IET Generation, Transmission & Distribution 8 (12): 1960–1978.
   Web of Science ®Google Scholar
• Rafiee Sandgani, M., and S. Sirouspour. 2018. “Energy Management in a Network of Grid-Connected Microgrids/Nanogrids Using Compromise Programming.” IEEE Transactions on Smart Grid 9 (3): 2180–2191.
   Web of Science ®Google Scholar
• Rahbar, K., J. Xu, and R. Zhang. 2015. “Real-Time Energy Storage Management for Renewable Integration in Microgrid: An Off-Line Optimization Approach.” IEEE Transactions on Smart Grid 6 (1): 124–134.
   Web of Science ®Google Scholar
• Raidl, G. R., and J. Puchinger. 2008. ���Combining (Integer) Linear Programming Techniques and Metaheuristics for Combinatorial Optimization.” In Hybrid Metaheuristics, 31–62. Berlin: Springer.
   Google Scholar
• Rathish, Rajendran Joseph, and Krishnan Mahadevan. 2018. “Multi-Objective Optimization of Stand-Alone Renewable Energy Hybrid System.” Intelligent and Efficient Electrical Systems, 1–13. Springer, Singapore, 2018.
   Google Scholar
• Rathore, Arun, and N. P. Patidar. 2019. “Reliability Assessment Using Probabilistic Modelling of Pumped Storage Hydro Plant with PV-Wind Based Standalone Microgrid.” International Journal of Electrical Power & Energy Systems 106: 17–32.
   Web of Science ®Google Scholar
• Ravadanegh, Sajad Najafi. 2017. “Mohammad Reza Jannati Oskuee, and Masoumeh Karimi. “Multi-Objective Planning Model for Simultaneous Reconfiguration of Power Distribution Network and Allocation of Renewable Energy Resources and Capacitors with Considering Uncertainties.”.” Journal of Central South University 24 (8): 1837–1849.
   Web of Science ®Google Scholar
• Reddy, S., L. K. Panwar, B. K. Panigrahi, and R. Kumar. 2018. “Solution to Unit Commitment in Power System Operation Planning Using Binary Coded Modified Moth Flame Optimization Algorithm (BMMFOA): A Flame Selection Based Computational Technique.” Journal of Computational Science 25: 298–317.
   Web of Science ®Google Scholar
• Rogers, Kristin, and Thomas P. Seager. 2009. “Environmental Decision-Making Using Life Cycle Impact Assessment and Stochastic Multiattribute Decision Analysis: A Case Study on Alternative Transportation Fuels.” 1718–1723.
   Google Scholar
• Rong, A., H. Hakonen, and R. Lahdelma. 2009. “A Dynamic Regrouping Based Sequential Dynamic Programming Algorithm for Unit Commitment of Combined Heat and Power Systems.” Energy Convers. Manage 50 (4): 1108–1115.
   Web of Science ®Google Scholar
• Rong, A., and P. B. Luh. 2018. “A Dynamic Regrouping Based Dynamic Programming Approach for Unit Commitment of the Transmission-Constrained Multi-Site Combined Heat and Power System.” IEEE Transactions on Power Systems 33 (1): 714–722.
   Web of Science ®Google Scholar
• Roque, L. A. C., D. B. M. M. Fontes, and F. A. C. C. Fontes. 2017. “A Multi-Objective Unit Commitment Problem Combining Economicand Environmental Criteria in a Metaheuristic Approach.” 4th International Conference on Energy and Environment Research, ICEER, 17–20 July, Porto, Portugal, 136, 362–368.
   Google Scholar
• Ross, Michael, Chad Abbey, Franois Bouffard, and Gza Jos. 2015. “Multiobjective Optimization Dispatch for Microgrids with a High Penetration of Renewable Generation.” IEEE Transactions on Sustainable Energy 6 (4): 1306–1314.
   Web of Science ®Google Scholar
• Rouholamini, M., and M. Mohammadian. 2015. “Energy Management of a Grid-Tied Residentialscale Hybrid Renewable Generation System Incorporating Fuel Cell and Electrolyzer.” Energy and Buildings 102: 406–416.
   Web of Science ®Google Scholar
• Rouholamini, M., and M. Mohammadian. 2016. “Heuristic-Based Power Management of a Grid Connected Hybrid Energy System Combined with Hydrogen Storage.” Renewable Energy 96: 354–365.
   Web of Science ®Google Scholar
• Roy, P. K., and R. Sarkar. 2014. “Solution of Unit Commitment Problem Using Quasi-Oppositional Teaching Learning Based Algorithm.” International Journal of Electrical Power & Energy Systems 60: 96–106.
   Web of Science ®Google Scholar
• Sabaei, Davood, John Erkoyuncu, and Rajkumar Roy. 2015. “A Review of Multi-Criteria Decision Making Methods for Enhanced Maintenance Delivery.” Procedia CIRP 37: 30–35.
   Google Scholar
• Saber, A. Y., and A. M. Alshareef. 2008. “Scalable Unit Commitment by Memory-Bounded ant Colony Optimization with A* Local Search.” Int. J. Electr. Power Energy Syst 30 (6–7): 403–414.
   Web of Science ®Google Scholar
• Saber, N. A., M. Salimi, and D. Mirabbasi. 2016. “A Priority List Based Approach for Solving Thermal Unit Commitment Problem with Novel Hybrid Genetic-Imperialist Competitive Algorithm.” Energy 117: 272–280.
   Web of Science ®Google Scholar
• Saber, A. Y., T. Senjyu, A. Yona, N. Urasaki, and T. Funabashi. 2007. “Fuzzy Unit Commitment Solution a Novel Twofold Simulated Annealing Approach.” Electr. Power Syst. Res 77 (12): 1699–1712.
   Web of Science ®Google Scholar
• Samal, Sarita, and Prakash Kumar Hota. 2017. “Design and Analysis of Solar PV-Fuel Cell and Wind Energy Based Microgrid System for Power Quality Improvement.” Cogent Engineering 4 (1): 1402453.
   Web of Science ®Google Scholar
• Samiee, M., N. Amjady, and H. Sharifzadeh. 2013. “Security Constrained Unit Commitment of Power Systems by a new Combinatorial Solution Strategy Composed of Enhanced Harmony Search Algorithm and Numerical Optimization.” International Journal of Electrical Power and Energy Systems 44 (1): 471–481.
   Web of Science ®Google Scholar
• Sanhueza, Raul, Hugh Rudnick, and Hector Lagunas. 2004. “DEA Efficiency for the Determination of the Electric Power Distribution Added Value.” IEEE Transactions on Power Systems 19 (2): 919–925.
   Web of Science ®Google Scholar
• Sawa, T., and K. Furukawa. 2012. “Unit Commitment Using Quadratic Programming and Unit Decommitment.” IEEE Power and Energy Society General Meeting, San Diego, CA, 1–6.
   Google Scholar
• Sawa, T., Y. Sato, M. Tsurugai, and T. Onishi. 2007. “Security Constrained Integrated Unit Commitment Using Quadratic Programming,” IEEE Lausanne Power Tech, Lausanne, 1858–1863.
   Google Scholar
• Sedaghati, Reza, and Mahmoud Reza Shakarami. 2019, January. “A Novel Control Strategy and Power Management of Hybrid PV/FC/SC/Battery Renewable Power System-Based Grid-Connected Microgrid.” Sustainable Cities and Society 44: 830–843.
   Web of Science ®Google Scholar
• Sharafi, Masoud, and Tarek Y. ELMekkawy. 2014. “Multi-Objective Optimal Design of Hybrid Renewable Energy Systems Using PSO-Simulation Based Approach.” Renewable Energy 68: 67–79.
   Web of Science ®Google Scholar
• Shaw, J. J. 1995. “A Direct Method for Security-Constrained Unit Commitment.” IEEE Transactions on Power Systems 10: 1329–1342.
   Web of Science ®Google Scholar
• Shiva, C. K., G. Shankar, and V. Mukherjee. 2015. “Automatic Generation Control of Power System Using a Novel Quasi-Oppositional Harmony Search Algorithm.” International Journal of Electrical Power & Energy Systems 73: 787–804.
   Web of Science ®Google Scholar
• Shivaie, M., and M. T. Ameli. 2015. “An Environmental/Techno-Economic Approach for Bidding Strategy in Security-Constrained Electricity Markets by a Bi-Level Harmony Search Algorithm.” Renewable Energy 83: 881–896.
   Web of Science ®Google Scholar
• Shivaie, M., M. T. Ameli, M. S. Sepasian, P. D. Weinsier, and V. Vahidinasab. 2015. “A Multistage Framework for Reliability-Based Distribution Expansion Planning Considering Distributed Generations by a Self-Adaptive Global-Based Harmony Search Algorithm.” Reliability Engineering & System Safety 139: 68–81.
   Web of Science ®Google Scholar
• Shukla, Anup, and James Momoh. 2017. “Multi-Objective Security Constrained Unit Commitment Problem Using Normal Boundary Intersection Technique.” Power Symposium (NAPS), North American. IEEE, 1–6.
   Google Scholar
• Shukla, A., and S. Singh. 2016a. “Advanced Three-Stage Pseudo-Inspired Weight-Improved Crazy Particle Swarm Optimization for Unit Commitment Problem.” Energy 96: 23–36.
   Web of Science ®Google Scholar
• Shukla, Anup, and S. N. Singh. 2016b. “Multi-Objective Unit Commitment With Renewable Energy Using GSA Algorithm.” INAE Letters 1 (1): 21–27.
   Google Scholar
• Shukla, Anup, and Sri Niwas Singh. 2016c. “Multi-Objective Unit Commitment with Renewable Energy Using Hybrid Approach.” IET Renewable Power Generation 10 (3): 327–338.
   Web of Science ®Google Scholar
• Soliman, A. A., M. M. Sayed, and D. K. Ibrahim. 2017. “Optimized Hybrid Microgrid of Gas Generators-Wind Farm Using Crow Search Algorithm.” Power (MW) 3 (4): 9–525.
   Google Scholar
• Srinivasan, D., C. S. Chang, and A. C. Liew. 1994. “Multi-Objective Generation Scheduling Using Fuzzy Optimal Search Technique.” IEEE Proceedings 141 (3): 233–242.
   Google Scholar
• Streiffert, D. 1995. “Multi-Area Economic Dispatch with tie Line Constraints.” IEEE Transactions on Power Systems 10 (4): 1946–1951.
   Web of Science ®Google Scholar
• Streimikiene, Dalia, Tomas Balezentis, Irena Krisciukaitienė, and Alvydas Balezentis. 2012. “Prioritizing Sustainable Electricity Production Technologies: MCDM Approach.” Renewable and Sustainable Energy Reviews 16 (5): 3302–3311.
   Web of Science ®Google Scholar
• Su, W., J. Wang, K. Zhang, and A. Q. Huang. 2014. “Model Predictive Control-Based Power Dispatch for Distribution System Considering Plug-in Electric Vehicle Uncertainty.” Electric Power Systems Research 106: 29–35.
   Web of Science ®Google Scholar
• Sueyoshi, Toshiyuki, and Mika Goto. 2012. “Efficiency-Based Rank Assessment for Electric Power Industry: A Combined use of Data Envelopment Analysis (DEA) and DEA-Discriminant Analysis (DA).” Energy Economics 34 (3): 634–644.
   Web of Science ®Google Scholar
• Sun, W., J. Wang, and H. Chang. 2012. “Forecasting Annual Power Generation Using a Harmony Search Algorithm-Based Joint Parameters Optimization Combination Model.” Energies 5 (10): 3948–3971.
   Web of Science ®Google Scholar
• Sutradhar, S., N. B. D. Choudhury, and N. Sinha. 2016. “MINLP for Hydro-Thermal Unit Commitment Problem Using BONMIN Solver.” IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), Delhi, 1–6.
   Google Scholar
• Talent, Orlando, and Haiping Du. 2018, December. “Optimal Sizing and Energy Scheduling of Photovoltaic-Battery Systems Under Different Tariff Structures.” Renewable Energy 129: 513–526.
   Web of Science ®Google Scholar
• Ting, T. O., M. V. C. Rao, and C. K. Loo. 2006. “A Novel Approach for Unit Commitment Problem via an Effective Hybrid Particle Swarm Optimization.” IEEE Transactions on Power Systems 21 (1): 411–418.
   Web of Science ®Google Scholar
• Trivedi, A., D. Srinivasan, K. Pal, C. Saha, and T. Reindl. 2015. “Enhanced Multiobjective Evolutionary Algorithm Based on Decomposition for Solving the Unit Commitment Problem.” IEEE Transactions on Industrial Informatics 11 (6): 1346–1357.
   Web of Science ®Google Scholar
• Tscheikner-Gratl, Franz, Patrick Egger, Wolfgang Rauch, and Manfred Kleidorfer. 2017. “Comparison of Multi-Criteria Decision Support Methods for Integrated Rehabilitation Prioritization.” Water 9 (2): 68.
   Web of Science ®Google Scholar
• Tseng, C.-, X. Guan, and A. J. Svoboda. 1998. “Multi-Area Unit Commitment for Large-Scale Power Systems.” IEE Proceedings - Generation, Transmission and Distribution 145 (4): 415–421.
   Web of Science ®Google Scholar
• Urgun, Dogan, and Chanan Singh. 2019, March. “A Hybrid Monte Carlo Simulation and Multi Label Classification Method for Composite System Reliability Evaluation.” IEEE Transactions on Power Systems 34 (2): 908–917.
   Web of Science ®Google Scholar
• Uzlu, E., A. Akpınar, H. T. Özturk, S. Nacar, and M. Kankal. 2014. “Estimates of Hydroelectric Generation Using Neural Networks with the Artificial bee Colony Algorithm for Turkey.” Energy 69: 638–647.
   Web of Science ®Google Scholar
• Valenzuela, L., F. Valdez, and P. Melin. 2016, December. “Flower Pollination Algorithm with Fuzzy Approach for Solving Optimization Problems.” In Studies in Computational Intelligence, 357–369.
   Google Scholar
• Vemuri, S., and L. Lemonidis. 1991. “Fuel Constrained Unit Commitment.” IEEE Transactions on Power Systems 7: 410–415.
   Web of Science ®Google Scholar
• Viñolas Prat, Bernat, F. Cortés, A. Marques, Alejandro Josa Garcia-Tornel, and Antonio Aguado de Cea. 2009. “MIVES: Modelo integrado de valor para evaluaciones de sostenibilidad.” II Congrés Internacional de Mesura i Modelització de la Sostenibilitat, pp. 1-24. Centro Internacional de Métodos Numéricos en Ingeniería (CIMNE).
   Google Scholar
• Wang, F., and K. W. Hedman. 2015. “Dynamic Reserve Zones for Day-Ahead Unit Commitment With Renewable Resources.” IEEE Transactions on Power Systems 30 (2): 612–620.
   Web of Science ®Google Scholar
• Wang, Haichao, Wenling Jiao, Risto Lahdelma, Chuanzhi Zhu, and Pinghua Zou. 2014a. “Stochastic Multicriteria Acceptability Analysis for Evaluation of Combined Heat and Power Units.” Energies 8 (1): 59–78.
   Web of Science ®Google Scholar
• Wang, Jiang-Jiang, You-Yin Jing, and Chun-Fa Zhang. 2009. “Weighting Methodologies in Multi-Criteria Evaluations of Combined Heat and Power Systems.” International Journal of Energy Research 33 (12): 1023–1039.
   Web of Science ®Google Scholar
• Wang, X., C. Tong, A. Palazoglu, and N. H. El-farra. 2014b. “Energy Management for the Chlor-Alkali Process with Hybrid Renewable Energy Generation Using Receding Horizon Optimization.” Proceedings of the 53rd IEEE Conference on Decision and Control; 2014, 4838–4843.
   Google Scholar
• Wang, Yang, Shuqiang Zhao, Zhi Zhou, Audun Botterud, Yan Xu, and Runze Chen. 2017. “Risk Adjustable Day-Ahead Unit Commitment with Wind Power Based on Chance Constrained Goal Programming.” IEEE Transactions on Sustainable Energy 8 (2): 530–541.
   Web of Science ®Google Scholar
• Wei, L., and Q. Tian. 2018. “Multi-Objective Optimal Load Distribution Based on Improved Gravitational Search Algorithm in Power Plants.” 2018 Chinese Control and Decision Conference (CCDC), Shenyang, 3910–3915.
   Google Scholar
• Wen, Y., W. Li, G. Huang, and X. Liu. 2016. “Frequency Dynamics Constrained Unit Commitment With Battery Energy Storage.” IEEE Transactions on Power Systems 31 (6): 5115–5125.
   Web of Science ®Google Scholar
• Wu, L. 2011. “A Tighter Piecewise Linear Approximation of Quadratic Cost Curves for Unit Commitment Problems.” IEEE Transactions on Power Systems 26 (4): 2581–2583.
   Web of Science ®Google Scholar
• Xie, J., R. Fu, P. Du, and M. Zhang. 2011. “Wind-Thermal Unit Commitment with Mixed-Integer Linear EENS and EEES Formulations.” 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), Weihai, Shandong, 1808–1815.
   Google Scholar
• Xu, J., V. W. S. Wong, and M. Zhang. 2011, October. “An Approximate Dynamic Programming Approach for Coordinated Charging Control at Vehicle-to-grid Aggregator.” In 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm), Brussels, Belgium. IEEE.
   Google Scholar
• Yacar, Dean, Diego A. Tejada-Arango, and Sonja Wogrin. 2018. “Storage Allocation and Investment Optimisation for Transmission-Constrained Networks Considering Losses and High Renewable Penetration.” IET Renewable Power Generation 12 (16): 1949–1956.
   Web of Science ®Google Scholar
• Yan, J., K. Li, E. Bai, X. Zhao, Y. Xue, and A. M. Foley. 2019, April. “Analytical Iterative Multi-Step Interval Forecasts of Wind Generation Based on TLGP.” IEEE Transactions on Sustainable Energy 10 (2): 625–636.
   Web of Science ®Google Scholar
• Yang, Zhile, Kang Li, Qun Niu, and Yusheng Xue. 2017a. “A Comprehensive Study of Economic Unit Commitment of Power Systems Integrating Various Renewable Generations and Plug-in Electric Vehicles.” Energy Conversion and Management 132: 460–481.
   Web of Science ®Google Scholar
• Yang, Z., K. Li, Q. Niu, and Y. Xue. 2017b. “A Novel Parallel-Series Hybrid Meta-Heuristic Method for Solving a Hybrid Unit Commitment Problem.” Knowledge-Based Systems 134: 13–30.
   Web of Science ®Google Scholar
• Yang, P., and A. Nehorai. 2014. “Joint Optimization of Hybrid Energy Storage and Generation Capacity With Renewable Energy.” IEEE Transactions on Smart Grid 5 (4): 1566–1574.
   Web of Science ®Google Scholar
• Yingvivatanapong, C., W. Lee, and E. Liu. 2008. “Multi-Area Power Generation Dispatch in Competitive Markets.” IEEE Transactions on Power Systems 23 (1): 196–203.
   Web of Science ®Google Scholar
• Yu, S., Y. M. Wei, and K. Wang. 2012. “A PSO–GA Optimal Model to Estimate Primary Energy Demand of China.” Energy Policy 42: 329–340.
   Web of Science ®Google Scholar
• Yudhaprawira, G., Sarjiya and S. P. Hadi. 2012. “Unit Commitment for Power Generation System Including PV and Batteries by Mixed Integer Quadratic Programming.” International Conference on Power Engineering and Renewable Energy (ICPERE), Bali, 1–5.
   Google Scholar
• Zavadskas, E. K., Z. Turskis, J. Antucheviciene, and A. Zakarevicius. 2012. “Optimization of Weighted Aggregated sum Product Assessment.” Elektronika ir Elektrotechnika 122 (6): 3–6.
   Web of Science ®Google Scholar
• Zhang, Lu, Ying Chen, Chen Shen, Wei Tang, Jun Liang, and Biao Xu. 2018a. “Optimal Configuration of Hybrid AC/DC Urban Distribution Networks for High Penetration Renewable Energy.” IET Generation, Transmission & Distribution 12 (20): 4499–4506.
   Web of Science ®Google Scholar
• Zhang, Xiao Shun, Tao Yu, Zhen Ning Pan, Bo Yang, and Tao Bao. 2018b. “Lifelong Learning for Complementary Generation Control of Interconnected Power Grids with High-Penetration Renewables and EVs.” IEEE Transactions on Power Systems 33 (4): 4097–4110.
   Web of Science ®Google Scholar
• Zhao, M., J. Zhao, W. Zhou, J. Zhu, and S. Zhang. 2015. “Energy Efficiency Optimization in Relay-Assisted Networks with Energy Harvesting Relay Constraints.” China Communications 12 (2): 84–94.
   Web of Science ®Google Scholar