Cost optimization and reliability assessment of a microgrid with large-scale plug-in electric vehicles participating in demand response programs

References

• Albadi, M. H., and E. F. El-Saadany. 2007. Demand response in electricity markets: An overview. Power Engineering Society General Meeting, 1–5. IEEE, Tampia, FL.
   Google Scholar
• Aluisio, B., A. Conserva, M. Dicorato, G. Forte, and M. Trovato. 2017. Optimal operation planning of v2g-equipped microgrid in the presence of ev aggregator. Electric Power Systems Research 152:295–305. doi:10.1016/j.epsr.2017.07.015.
   Web of Science ®Google Scholar
• Ansari, O. A., N. Safari, and C. Chung. 2016. Reliability assessment of microgrid with renewable generation and prioritized loads. In Green Energy and Systems Conference (IGSEC), 1–6, IEEE, Long Beach, CA.
   Google Scholar
• Bahramirad, S., W. Reder, and A. Khodaei. 2012. Reliability-constrained optimal sizing of energy storage system in a microgrid. IEEE Transactions on Smart Grid 3 (4):2056–62. doi:10.1109/TSG.2012.2217991.
   Web of Science ®Google Scholar
• Chen, C., S. Duan, T. Cai, B. Liu, and G. Hu. 2011. Smart energy management system for optimal microgrid economic operation. IET Renewable Power Generation 5 (3):258–67. doi:10.1049/iet-rpg.2010.0052.
   Web of Science ®Google Scholar
• Conejo, A. J., J. M. Morales, and L. Baringo. 2010. Real-time demand response model. IEEE Transactions on Smart Grid 1 (3):236–42. doi:10.1109/TSG.2010.2078843.
   Web of Science ®Google Scholar
• Corchero, C., M. Cruz-Zambrano, F.-J. Heredia. 2014. Optimal energy management for a residential microgrid including a vehicle-to-grid system. IEEE Transactions on Smart Grid 5 (4):2163–72. doi:10.1109/TSG.2014.2318836.
   Web of Science ®Google Scholar
• Costa, P. M., and M. A. Matos. 2006. Economic analysis of microgrids including reliability aspects. Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference, 1–8, IEEE, Stockholm, Sweden.
   Google Scholar
• Daneshi, H., and H. Khorashadi-Zadeh. 2012. Microgrid energy management system: A study of reliability and economic issues. Power and Energy Society General Meeting, 2012 IEEE, 1–5, IEEE, San Diego, CA.
   Google Scholar
• Dang, Q., and Y. Huo. 2018. Flexibility scheduling for microgrids with electric vehicle (ev) penetration. 2018 IEEE Energy Conversion Congress and Exposition (ECCE), 1078–83, IEEE, Portland, OR.
   Google Scholar
• Gazijahani, F. S., and J. Salehi. 2017. Stochastic multi-objective framework for optimal dynamic planning of interconnected microgrids. IET Renewable Power Generation 11 (14):1749–59. doi:10.1049/iet-rpg.2017.0278.
   Web of Science ®Google Scholar
• Gnann, T., T. S. Stephens, Z. Lin, P. Plötz, C. Liu, and J. Brokate. 2018. What drives the market for plug-in electric vehicles? – A review of international pev market diffusion models. Renewable and Sustainable Energy Reviews 93:158–64. doi:10.1016/j.rser.2018.03.055.
   Web of Science ®Google Scholar
• Hu, J., J. Cao, T. Yong, J. M. Guerrero, M. Z. Chen, and Y. Li. 2017. Demand response load following of source and load systems. IEEE Transactions on Control Systems Technology 25 (5):1586–98. doi:10.1109/TCST.2016.2615087.
   Web of Science ®Google Scholar
• Jiang, Q., M. Xue, and G. Geng. 2013. Energy management of microgrid in grid-connected and stand-alone modes. IEEE Transactions on Power Systems 28 (3):3380–89. doi:10.1109/TPWRS.2013.2244104.
   Web of Science ®Google Scholar
• Kazemi, M. A., R. Sabzehgar, and M. Rasouli. 2017. An optimized scheduling strategy for plugged-in electric vehicles integrated into a residential smart microgrid for both grid-tied and islanded modes. Renewable Energy Research and Applications (ICRERA), 2017 IEEE 6th International Conference, 251–56, IEEE, San Diego, CA.
   Google Scholar
• Kim, S.-J., and G. B. Giannakis. 2017. An online convex optimization approach to real-time energy pricing for demand response. IEEE Transactions on Smart Grid 8 (6):2784–93. doi:10.1109/TSG.2016.2539948.
   Web of Science ®Google Scholar
• Latifi, M., R. Sabzehgar, and M. Rasouli. 2018. Reactive power compensation using plugged-in electric vehicles for an ac power grid. IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society, 4986–91, IEEE, Washington, DC.
   Google Scholar
• Latifi, M., R. Sabzehgar, M. Rasouli, and P. Fajri. 2019. Active and reactive power compensation using a PEV-based three-level capacitor clamped inverter. 2019 IEEE Texas Power and Energy Conference (TPEC), 1–6, IEEE, College Station, TX.
   Google Scholar
• Lehtola, T., and A. Zahedi. 2015. Cost of EV battery wear due to vehicle to grid application. 2015 Australasian Universities Power Engineering Conference (AUPEC), 1–4. IEEE, Wollongong, NSW.
   Google Scholar
• Li, N., L. Chen, and S. H. Low. 2011. Optimal demand response based on utility maximization in power networks. Power and Energy Society General Meeting, 2011 IEEE, 1–8, IEEE, Detroit, MI.
   Google Scholar
• Liang, H., J. Su, and S. Liu. 2010. Reliability evaluation of distribution system containing microgrid. Electricity Distribution (CICED), 2010 China International Conference, 1–7, IEEE, Nanjing, China.
   Google Scholar
• Liasi, S. G., and S. M. T. Bathaee, 2017. Optimizing microgrid using demand response and electric vehicles connection to microgrid. 2017 Smart Grid Conference (SGC), 1–7, IEEE, Tehran, Iran.
   Google Scholar
• Liu, Z., X. Wang, R. Zhuo, and X. Cai. 2018. Flexible network planning of autonomy microgrid. IET Renewable Power Generation 12 (16):1931–40. doi:10.1049/iet-rpg.2018.5364.
   Web of Science ®Google Scholar
• Lopez-Ramos, L. M., V. Kekatos, A. G. Marques, and G. B. Giannakis. 2015. Microgrid dispatch and price of reliability using stochastic approximation. Signal and Information Processing (GlobalSIP), 2015 IEEE Global Conference, 1131–35, IEEE, Orlando, FL.
   Google Scholar
• Meiqin, M., J. Meihong, D. Wei, and L. Chang, 2010. Multi-objective economic dispatch model for a microgrid considering reliability. Power Electronics for Distributed Generation Systems (PEDG), 2010 2nd IEEE International Symposium, 993–98, IEEE, Hefei, China.
   Google Scholar
• Milo, A., H. Gaztañaga, I. Etxeberria-Otadui, E. Bilbao, and P. Rodrguez. 2009. Optimization of an experimental hybrid microgrid operation: Reliability and economic issues. PowerTech, 2009 IEEE Bucharest, 1–6, IEEE, Bucharest, Romania.
   Google Scholar
• Moon, S., and J.-W. Lee. 2016. Multi-residential demand response scheduling with multi-class appliances in smart grid. IEEE Transactions on Smart Grid 9 (4):2518–2528.
   Web of Science ®Google Scholar
• Morsali, R., and R. Kowalczyk. 2018. Demand response based day-ahead scheduling and battery sizing in microgrid management in rural areas. IET Renewable Power Generation 12 (14):1651–58. doi:10.1049/iet-rpg.2018.5429.
   Web of Science ®Google Scholar
• Nguyen, D. T., and L. B. Le, 2013. Optimal energy management for cooperative microgrids with renewable energy resources. Smart Grid Communications (SmartGridComm), 2013 IEEE International Conference, 678–83, IEEE, Vancouver, BC.
   Google Scholar
• Nikmehr, N., and S. Najafi-Ravadanegh. 2015. Optimal operation of distributed generations in micro-grids under uncertainties in load and renewable power generation using heuristic algorithm. IET Renewable Power Generation 9 (8):982–90. doi:10.1049/iet-rpg.2014.0357.
   Web of Science ®Google Scholar
• Nwulu, N. I., and X. Xia. 2015. Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs. Energy Conversion and Management 89:963–74. doi:10.1016/j.enconman.2014.11.001.
   Web of Science ®Google Scholar
• Oliveira, D., A. Z. de Souza, and L. Delboni. 2013. Optimal plug-in hybrid electric vehicles recharge in distribution power systems. Electric Power Systems Research 98:77–85. doi:10.1016/j.epsr.2012.12.012.
   Web of Science ®Google Scholar
• Ozturk, Y., D. Senthilkumar, S. Kumar, and G. Lee. 2013. An intelligent home energy management system to improve demand response. IEEE Transactions on Smart Grid 4 (2):694–701. doi:10.1109/TSG.2012.2235088.
   Web of Science ®Google Scholar
• Palensky, P., and D. Dietrich. 2011. Demand side management: Demand response, intelligent energy systems, and smart loads. IEEE Transactions on Industrial Informatics 7 (3):381–88. doi:10.1109/TII.2011.2158841.
   Web of Science ®Google Scholar
• Rabiee, A., S. M. Mohseni-Bonab, M. Parniani, and I. Kamwa. 2018. Optimal cost of voltage security control using voltage dependent load models in presence of demand response. IEEE Transactions on Smart Grid 10 (3):2383–2395.
   Web of Science ®Google Scholar
• Rabiee, A., A. Soroudi, B. Mohammadi-Ivatloo, and M. Parniani. 2014. Corrective voltage control scheme considering demand response and stochastic wind power. IEEE Transactions on Power Systems 29 (6):2965–73. doi:10.1109/TPWRS.2014.2316018.
   Web of Science ®Google Scholar
• Ramabhotla, S., S. Bayne, and M. Giesselmann. 2016. Reliability optimization using fault tree analysis in the grid connected mode of microgrid. Green Technologies Conference (GreenTech), 2016 IEEE, 136–41, IEEE, Kansas City, MO.
   Google Scholar
• Rassaei, F., W.-S. Soh, and K.-C. Chua. 2015. Demand response for residential electric vehicles with random usage patterns in smart grids. IEEE Transactions on Sustainable Energy 6 (4):1367–76. doi:10.1109/TSTE.2015.2438037.
   Web of Science ®Google Scholar
• Sabzehgar, R. 2015. A review of ac/dc microgrid-developments, technologies, and challenges. 2015 IEEE Green Energy and Systems Conference (IGESC), 11–17, IEEE, Long Beach, CA.
   Google Scholar
• Safdarian, A., M. Fotuhi-Firuzabad, and M. Lehtonen. 2014. Integration of price-based demand response in discos’ short-term decision model. IEEE Transactions on Smart Grid 5 (5):2235–45. doi:10.1109/TSG.5165411.
   Web of Science ®Google Scholar
• Sandgani, M. R., and S. Sirouspour. 2017. Priority-based microgrid energy management in a network environment. IEEE Transactions on Sustainable Energy 9 (2):980–990.
   Web of Science ®Google Scholar
• Shahsavari, A., A. Fereidunian, and H. Lesani. 2013. A healer reinforcement approach to smart grid self-healing by redundancy improvement. Electrical Power Distribution Networks (EPDC), 2013 18th Conference, 1–9, IEEE, Kermanshah, Iran.
   Google Scholar
• Shams, H., A. Sadeghfam, N. Rostami, and S. Tohidi. 2019. Exact approach for charging of pevs with v2g capability to improve micro-grid reliability. IET Generation, Transmission & Distribution 13 (16):3690–95. doi:10.1049/iet-gtd.2018.6752.
   Web of Science ®Google Scholar
• Shao, S., M. Pipattanasomporn, and S. Rahman. 2012. Grid integration of electric vehicles and demand response with customer choice. IEEE Transactions on Smart Grid 3 (1):543–50. doi:10.1109/TSG.2011.2164949.
   Web of Science ®Google Scholar
• Singh, S., M. Singh, and S. C. Kaushik. 2016. Optimal power scheduling of renewable energy systems in microgrids using distributed energy storage system. IET Renewable Power Generation 10 (9):1328–39. doi:10.1049/iet-rpg.2015.0552.
   Web of Science ®Google Scholar
• Soroudi, A., and M. Afrasiab. 2012. Binary pso-based dynamic multi-objective model for distributed generation planning under uncertainty. IET Renewable Power Generation 6 (2):67–78. doi:10.1049/iet-rpg.2011.0028.
   Web of Science ®Google Scholar
• Teo, T. T., T. Logenthiran, W. L. Woo, and K. Abidi. 2018. Advanced control strategy for an energy storage system in a grid-connected microgrid with renewable energy generation. IET Smart Grid 1 (3):96–103. doi:10.1049/iet-stg.2018.0024.
   Google Scholar
• Tsui, K. M., and S.-C. Chan. 2012. Demand response optimization for smart home scheduling under real-time pricing. IEEE Transactions on Smart Grid 3 (4):1812–21. doi:10.1109/TSG.2012.2218835.
   Web of Science ®Google Scholar
• Vahedipour, M., A. Anvari-Moghaddam, and J. Guerrero. 2018. Evaluation of reliability in risk-constrained scheduling of autonomous microgrids with demand response and renewable resources. IET Renewable Power Generation 12:657–67. doi:10.1049/iet-rpg.2017.0720.
   Web of Science ®Google Scholar
• Wang, L., X. Xie, X. Dong, Y. Liu, and H. Shen. 2018. Real-time optimisation of short-term frequency stability controls for a power system with renewables and multi-infeed HVDCs. IET Renewable Power Generation 12 (13):1462–69. doi:10.1049/iet-rpg.2017.0884.
   Web of Science ®Google Scholar
• Wang, Z., Y. Chen, S. Mei, S. Huang, and Y. Xu. 2017. Optimal expansion planning of isolated microgrid with renewable energy resources and controllable loads. IET Renewable Power Generation 11 (7):931–40. doi:10.1049/iet-rpg.2016.0661.
   Web of Science ®Google Scholar
• Wei, H., H. Zijun, T. Hongliang, Z. Li. 2011. Reliability evaluation of microgrid with PV-WG hybrid system. Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference, 1629–32, IEEE, Weihai, Shandong, China.
   Google Scholar
• Xu, S., Y. Qian, and R. Q. Hu. 2018. Reliable and resilient access network design for advanced metering infrastructures in smart grid. IET Smart Grid 1 (1):24–30. doi:10.1049/iet-stg.2018.0008.
   Google Scholar
• Yammani, C., and P. Prabhat. 2018. Collaborative demand response in smart electric grid with virtual system operator. IET Smart Grid 1 (3):76–84. doi:10.1049/iet-stg.2018.0023.
   Google Scholar
• Yoon, S.-G., and S.-G. Kang. 2017. Economic microgrid planning algorithm with electric vehicle charging demands. Energies 10 (10):1487. doi:10.3390/en10101487.
   Web of Science ®Google Scholar
• You, M., J. Jiang, A. M. Tonello, T. Doukoglou, and H. Sun. 2018. On statistical power grid observability under communication constraints. IET Smart Grid 1 (2):40–47. doi:10.1049/iet-stg.2018.0009.
   Google Scholar
• Yuan, B., A. Chen, C. Du, and C. Zhang. 2017. Hybrid ac/dc microgrid energy management based on renewable energy sources forecasting. Control Conference (CCC), 2017 36th Chinese, 2870–75, IEEE, Dalian, China.
   Google Scholar
• Zeng, B., J. Zhang, X. Yang, J. Wang, J. Dong, and Y. Zhang. 2014. Integrated planning for transition to low-carbon distribution system with renewable energy generation and demand response. IEEE Transactions on Power Systems 29 (3):1153–65. doi:10.1109/TPWRS.2013.2291553.
   Web of Science ®Google Scholar