Short-term rescheduling of microgrids with high-penetration of smart electric vehicles using grasshoppers optimisation algorithm

References

• Abdolahi, A., J. Salehi, F. Samadi Gazijahani, and A. Safari. 2018. “Probabilistic Multi-Objective Arbitrage of Dispersed Energy Storage Systems for Optimal Congestion Management of Active Distribution Networks Including Solar/Wind/CHP Hybrid Energy System” Journal of Renewable and Sustainable Energy 10 (4): 045502. https://doi.org/10.1063/1.5035081.
   Web of Science ®Google Scholar
• Abdolahi, A., N. Taghizadegan, M. R. Banaei, and J. Salehi. 2021. “A Reliability-Based Optimal μ-PMU Placement Scheme for Efficient Observability Enhancement of Smart Distribution Grids Under Various Contingencies” IET Science, Measurement & Technology 15 (8): 663–680. https://doi.org/10.1049/smt2.12067.
   Web of Science ®Google Scholar
• Aftab, M. A., S. S. Hussain, A. Latif, D. C. Das, and T. S. Ustun. 2021. “IEC 61850 Communication Based Dual Stage Load Frequency Controller for Isolated Hybrid Microgrid.” International Journal of Electrical Power & Energy Systems 130: 106909. https://doi.org/10.1016/j.ijepes.2021.106909.
   Web of Science ®Google Scholar
• Cheng, S., G. C. Su, L. L. Zhao, and T. L. Huang. 2017. “Dynamic Dispatch Optimization of Microgrid Based on a QS-PSO Algorithm” Journal of Renewable and Sustainable Energy 9 (4): 045505. https://doi.org/10.1063/1.4995646.
   Web of Science ®Google Scholar
• Conteh, F., S. Tobaru, H. O. R. Howlader, A. Yona, and T. Senjyu. 2017. “Energy Management Systems for Hybrid Distributed Generation Sources in Grid Connected and Stand-Alone Micro-Grids.” Journal of Renewable and Sustainable Energy 9 (6): 065301. https://doi.org/10.1063/1.4998773.
   Web of Science ®Google Scholar
• Dabbaghjamanesh, M., A. Kavousi-Fard, and J. Zhang. 2021. “Stochastic Modeling and Integration of Plug-in Hybrid Electric Vehicles in Reconfigurable Microgrids with Deep Learning-Based Forecasting” IEEE Transactions on Intelligent Transportation Systems 22 (7): 4394–4403. https://doi.org/10.1109/TITS.2020.2973532.
   Web of Science ®Google Scholar
• Ebeed, M., and S. H. A. Aleem. 2021. Overview of Uncertainties in Modern Power Systems: Uncertainty Models and Methods. Uncertainties in Modern Power Systems. Elsevier: 1–34.
   Google Scholar
• Gazijahani, F. S., H. Hosseinzadeh, N. Tagizadeghan, and J. Salehi. 2017. “A New Point Estimate Method for Stochastic Optimal Operation of Smart Distribution Systems Considering Demand Response Programs.” 2017 conference on electrical power distribution networks conference (EPDC), IEEE.
   Google Scholar
• Hai, T., A. K. Alazzawi, J. Zhou, and T. Muranaka. 2023a. “Optimal Energy Scheduling of Microgrid With Electric Vehicles Based on Electricity Market Price” Journal of Energy Resources Technology 145 (6): 061301. https://doi.org/10.1115/1.4056526.
   Web of Science ®Google Scholar
• Hai, T., J. Zhou, and T. Muranaka. 2023b. “Management of Renewable-Based Multi-Energy Microgrids with Energy Storage and Integrated Electric Vehicles Considering Uncertainties” Journal of Energy Storage 60: 106582. https://doi.org/10.1016/j.est.2022.106582.
   Web of Science ®Google Scholar
• Hu, J., G. Yang, H. W. Bindner and Y. Xue. 2016. “Application of Network-Constrained Transactive Control to Electric Vehicle Charging for Secure Grid Operation.” IEEE Transactions on Sustainable Energy 8 (2): 505–515.
   Web of Science ®Google Scholar
• Hytowitz, R. B., and K. W. Hedman. 2015. “Managing Solar Uncertainty in Microgrid Systems with Stochastic Unit Commitment” Electric Power Systems Research 119: 111–118. https://doi.org/10.1016/j.epsr.2014.08.020.
   Web of Science ®Google Scholar
• Kamankesh, H., and V. G. Agelidis. 2017. “A Sufficient Stochastic Framework For Optimal Operation of Micro-Grids Considering High Penetration of Renewable Energy Sources and Electric Vehicles.” Journal of Intelligent & Fuzzy Systems 32 (1): 373–387. https://doi.org/10.3233/JIFS-151955.
   Web of Science ®Google Scholar
• Kavousi-Fard, A., A. Zare, and A. Khodaei. 2018. “Effective Dynamic Scheduling of Reconfigurable Microgrids” IEEE Transactions on Power Systems 33 (5): 5519–5530. https://doi.org/10.1109/TPWRS.2018.2819942.
   Web of Science ®Google Scholar
• Latif, A., M. Paul, D. C. Das, S. S. Hussain, and T. S. Ustun. 2020. “Price Based Demand Response for Optimal Frequency Stabilization in ORC Solar Thermal Based Isolated Hybrid Microgrid Under Salp Swarm Technique.” Electronics 9 (12): 2209. https://doi.org/10.3390/electronics9122209.
   Web of Science ®Google Scholar
• Liu, C., X. Wang, X. Wu, and J. Guo. 2017. “Economic Scheduling Model of Microgrid Considering the Lifetime of Batteries” IET Generation, Transmission & Distribution 11 (3): 759–767. https://doi.org/10.1049/iet-gtd.2016.0772.
   Web of Science ®Google Scholar
• Masoum, A. S., S. Deilami, P. S. Moses, M. A. Masoum and A. Abu-Siada. 2011. “Smart Load Management of Plug-in Electric Vehicles in Distribution and Residential Networks with Charging Stations for Peak Shaving and Loss Minimisation Considering Voltage Regulation.” IET Generation, Transmission & Distribution 5 (8): 877–888.
   Web of Science ®Google Scholar
• Mishra, S., P. C. Nayak, R. C. Prusty, and S. Panda. 2022a. “Performance Analysis of Multistage PID Controller for Frequency Regulation of Multi Microgrid System Using Atom Search Optimization” International Journal of Ambient Energy, 1–16.
   Google Scholar
• Mishra, S., P. C. Nayak, R. C. Prusty, and S. Panda. 2022b. “Hybrid Dragonfly Algorithm and Pattern Search Optimized Adaptive Fuzzy PID Controller for Frequency Regulation of Multi Microgrid System Using Henkel Matrix Based Reduced-Order Model” International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 43: e3029.
   Google Scholar
• Mishra, S., P. C. Nayak, R. C. Prusty, and S. Panda. 2022c. “Modified Multiverse Optimizer Technique-Based Two Degrees of Freedom Fuzzy PID Controller for Frequency Control of Microgrid Systems With Hydrogen Aqua Electrolyzer Fuel Cell Unit.” Neural Computing and Applications: 1–17.
   Google Scholar
• Mohammadinia Samakoosh, H., J. Ghasemi, and J. Kazemitabar. 2017. “Optimized Neural Network Based Thermal and Electrical Scheduling of Virtual Power Plant in the Presence of Energy Storage.” Journal of Renewable and Sustainable Energy 9 (2): 025903. https://doi.org/10.1063/1.4979500.
   Web of Science ®Google Scholar
• Naderipour, A., Z. Abdul-Malek, M. W. B. Mustafa, and J. M. Guerrero. 2021. “A Multi-Objective Artificial Electric Field Optimization Algorithm for Allocation of Wind Turbines in Distribution Systems” Applied Soft Computing 105: 107278. https://doi.org/10.1016/j.asoc.2021.107278.
   Web of Science ®Google Scholar
• Nayak, P. C., S. Mishra, R. C. Prusty, and S. Panda. 2020. “Performance Analysis of Hydrogen Aqua Equalizer Fuel-Cell on AGC of Wind-Hydro-Thermal Power Systems with Sunflower Algorithm Optimized Fuzzy-PDFPI Controller” International Journal of Ambient Energy, 1–14.
   Web of Science ®Google Scholar
• Nayak, P. C., B. P. Nayak, R. C. Prusty, and S. Panda. 2021. “Sunflower Optimization Based Fractional Order Fuzzy PID Controller for Frequency Regulation of Solar-Wind Integrated Power System with Hydrogen Aqua Equalizer-Fuel Cell Unit” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 10: 1–19.
   Google Scholar
• Nayak, P. C., R. C. Prusty, and S. Panda. 2022. “Grasshopper Optimization Algorithm of Multistage PDF+(1+PI) Controller for AGC With GDB and GRC Nonlinearity of Dispersed Type Power System” International Journal of Ambient Energy 43 (1): 1469–1481. https://doi.org/10.1080/01430750.2019.1709897.
   Web of Science ®Google Scholar
• Onlam, A., D. Yodphet, R. Chatthaworn, C. Surawanitkun, A. Siritaratiwat, and P. Khunkitti. 2019. “Power Loss Minimization and Voltage Stability Improvement in Electrical Distribution System via Network Reconfiguration and Distributed Generation Placement Using Novel Adaptive Shuffled Frogs Leaping Algorithm” Energies 12 (3): 553. https://doi.org/10.3390/en12030553.
   Web of Science ®Google Scholar
• Paliwal, N. K., A. K. Singh, and N. K. Singh. 2020. “Energy Scheduling Optimisation of an Islanded Microgrid via Artificial bee Colony Guided by Global Best, Personal Best and Asynchronous Scaling Factors.” International Journal of Sustainable Energy 39 (6): 539–555. https://doi.org/10.1080/14786451.2020.1735387.
   Web of Science ®Google Scholar
• Parhoudeh, S., A. Baziar, A. Mazareie, and A. Kavousi-Fard. 2016. “A Novel Stochastic Framework Based on Fuzzy Cloud Theory for Modeling Uncertainty in the Micro-Grids” International Journal of Electrical Power & Energy Systems 80: 73–80. https://doi.org/10.1016/j.ijepes.2016.01.033.
   Web of Science ®Google Scholar
• Paul, S., and W. Jewell. 2012. “Optimal Capacitor Placement and Sizes for Power Loss Reduction Using Combined Power Loss Index-Loss Sensitivity Factor and Genetic Algorithm.” 2012 IEEE Power and Energy Society General Meeting, IEEE.
   Google Scholar
• Prusty, U. C., P. C. Nayak, R. C. Prusty, and S. Panda. 2022. “An Improved Moth Swarm Algorithm Based Fractional Order Type-2 Fuzzy PID Controller for Frequency Regulation of Microgrid System” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 15: 1–23.
   Google Scholar
• Rangu, S. K., P. R. Lolla, K. R. Dhenuvakonda, and A. R. Singh. 2020. “Recent Trends in Power Management Strategies for Optimal Operation of Distributed Energy Resources in Microgrids: A Comprehensive Review” International Journal of Energy Research 44 (13): 9889–9911. https://doi.org/10.1002/er.5649.
   Web of Science ®Google Scholar
• Rogers, S. M., T. Matheson, E. Despland, T. Dodgson, M. Burrows, and S. J. Simpson. 2003. “Mechanosensory-Induced Behavioural Gregarization in the Desert Locust Schistocerca Gregaria” Journal of Experimental Biology 206 (22): 3991–4002. https://doi.org/10.1242/jeb.00648.
   PubMed Web of Science ®Google Scholar
• Sadati, S. M. B., J. Moshtagh, M. Shafie-khah, and J. P. Catalão (2018). “Smart Distribution System Operational Scheduling Considering Electric Vehicle Parking Lot and Demand Response Programs.” Electric Power Systems Research 160: 404–418.
   Web of Science ®Google Scholar
• Sambaiah, K. S., and T. Jayabarathi. 2020. “Optimal Modeling and Allocation of Mixed Wind and Solar Generation Systems in Electric Distribution Networks” IETE Journal of Research 68: 1–13.
   Web of Science ®Google Scholar
• Saremi, S., S. Mirjalili, and A. Lewis. 2017. “Grasshopper Optimisation Algorithm: Theory and Application” Advances in Engineering Software 105: 30–47. https://doi.org/10.1016/j.advengsoft.2017.01.004.
   Web of Science ®Google Scholar
• Shahgholian, G. 2021. “A Brief Review on Microgrids: Operation, Applications, Modeling, and Control” International Transactions on Electrical Energy Systems 31 (6): e12885. https://doi.org/10.1002/2050-7038.12885.
   Web of Science ®Google Scholar
• Shamshirband, M., J. Salehi, and F. S. Gazijahani. 2018. “Decentralized Trading of Plug-in Electric Vehicle Aggregation Agents for Optimal Energy Management of Smart Renewable Penetrated Microgrids with the aim of CO2 Emission Reduction” Journal of Cleaner Production 200: 622–640. https://doi.org/10.1016/j.jclepro.2018.07.315.
   Web of Science ®Google Scholar
• Simpson, S. J., A. R. McCaffery, and B. F. Hägele. 1999. “A Behavioural Analysis of Phase Change in the Desert Locust” Biological Reviews 74 (4): 461–480. https://doi.org/10.1111/j.1469-185X.1999.tb00038.x.
   Web of Science ®Google Scholar
• Sultana, U., S. H. Qazi, N. Rasheed, and M. Mustafa. 2021. “Performance Analysis of Real-Time PSO Tuned PI Controller for Regulating Voltage and Frequency in an AC Microgrid” International Journal of Electrical and Computer Engineering 11 (2): 1068.
   Google Scholar
• Tabatabaee, S., S. S. Mortazavi, and T. Niknam. 2017. “Stochastic Scheduling of Local Distribution Systems Considering High Penetration of Plug-in Electric Vehicles and Renewable Energy Sources” Energy 121: 480–490. https://doi.org/10.1016/j.energy.2016.12.115.
   Web of Science ®Google Scholar
• Taghizadegan, N., S. Cheshmeh Khavar, A. Abdolahi, F. Arasteh, and R. Ghoreyshi. 2022. “Dominated GSO Algorithm for Optimal Scheduling of Renewable Microgrids with Penetration of Electric Vehicles and Energy Storages Considering DRP” International Journal of Ambient Energy 43: 1–12.
   Google Scholar
• Talwariya, A., P. Singh, M. L. Kolhe, and J. H. Jobanputra. 2020. Fuzzy Logic Controller and Game Theory Based Distributed Energy Resources Allocation.
   Google Scholar
• Wu, X., Y. Hu, Y. Li, J. Yang, L. Duan, T. Wang, T. Adcock, Z. Jiang, Z. Gao, and Z. Lin. 2019. “Foundations of Offshore Wind Turbines: A Review” Renewable and Sustainable Energy Reviews 104: 379–393. https://doi.org/10.1016/j.rser.2019.01.012.
   Web of Science ®Google Scholar
• Zethmayr, J., and D. Kolata. 2018. “The Costs and Benefits of Real-Time Pricing: An Empirical Investigation Into Consumer Bills Using Hourly Energy Data and Prices” The Electricity Journal 31 (2): 50–57. https://doi.org/10.1016/j.tej.2018.02.006.
   Google Scholar