Optimal Operation of Multi-microgrid System Considering Uncertainty of Electric Vehicles

Document Type : Original Article


1 Department of Electrical Engineering, University of Science and Technology of Mazandaran, P.O. Box 48518-78195, Behshahr, Iran

2 School of Engineering, Griffith University, QLD 4222, Australia


Integration of electric vehicles (EVs) into the power systems has been a concern for distribution system operators due to their impacts on several aspects of power system operation, such as congestion management, power quality, voltage regulation, and peak time changing. In this paper uncertainty parameters such as charging time, traveled distance, and plug-in location of EVs are considered and their effects on the optimal daily operation of microgrids (MG) are discussed. A power system, including geographically-adjacent quasi-independently controlled MGs, each of which has a different operation objective function (OF) is modeled in this paper. A set of socioeconomic OFs i.e. minimum purchase power from the main grid, maximum usage of green power, and minimum Expected Energy Not Supplied (EENS) are considered for each MG which appear in the optimization process with different weights based on the MG policy. The effect of EV integration into the Multi Microgrid System (MMS) is also investigated in this paper and the performance effectiveness of different operation management policies against EV integration is discussed.


Main Subjects

  1. Gholami, M., Sanjari, M. and Gharehpetian, G., "Pmu-based voltage stability assessment in microgrids by anns considering single contingencies", International Review of Electrical Engineering-Iree, Vol. 7, No. 6, (2012), 6317-6323.
  2. Eini, M.K., Moghaddam, M.M., Tavakoli, A. and Alizadeh, B., "Stability analysis of ac/dc microgrids in island mode", International Journal of Engineering, Transactions A: Basics, Vol. 34, No. 7, (2021), 1750. doi: 10.5829/ije.2021.34.07a.20.
  3. Lasseter, R., Akhil, A., Marnay, C., Stephens, J., Dagle, J., Guttromsom, R., Meliopoulous, A.S., Yinger, R. and Eto, J., Integration of distributed energy resources. The certs microgrid concept. 2002, Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States).
  4. Beer, S., Gómez, T., Dallinger, D., Momber, I., Marnay, C., Stadler, M. and Lai, J., "An economic analysis of used electric vehicle batteries integrated into commercial building microgrids", IEEE Transactions on Smart Grid, Vol. 3, No. 1, (2012), 517-525. doi: 10.1109/TSG.2011.2163091.
  5. Luthander, R., Shepero, M., Munkhammar, J. and Widén, J., "Photovoltaics and opportunistic electric vehicle charging in the power system–a case study on a swedish distribution grid", IET Renewable Power Generation, Vol. 13, No. 5, (2019), 710-716. doi: 10.1049/iet-rpg.2018.5082.
  6. Figueiredo, R.E., Monteiro, V., Ferreira, J.C., Afonso, J.L. and Afonso, J.A., "Smart home power management system for electric vehicle battery charger and electrical appliance control", International Transactions on Electrical Energy Systems, Vol. 31, No. 4, (2021), e12812. doi: 10.1002/2050-7038.12812.
  7. Madzharov, D., Delarue, E. and D'haeseleer, W., "Integrating electric vehicles as flexible load in unit commitment modeling", Energy, Vol. 65, (2014), 285-294. doi: 10.1016/j.energy.2013.12.009.
  8. Nikmehr, N. and Najafi‐Ravadanegh, S., "Optimal operation of distributed generations in micro‐grids under uncertainties in load and renewable power generation using heuristic algorithm", IET Renewable Power Generation, Vol. 9, No. 8, (2015), 982-990. doi: 10.1049/iet-rpg.2014.0357.
  9. Marzband, M., Alavi, H., Ghazimirsaeid, S.S., Uppal, H. and Fernando, T., "Optimal energy management system based on stochastic approach for a home microgrid with integrated responsive load demand and energy storage", Sustainable Cities and Society, Vol. 28, (2017), 256-264. doi: 10.1016/j.scs.2016.09.017.
  10. Wouters, C., Fraga, E.S. and James, A.M., "An energy integrated, multi-microgrid, milp (mixed-integer linear programming) approach for residential distributed energy system planning–a south australian case-study", Energy, Vol. 85, (2015), 30-44. doi: 10.1016/j.energy.2015.03.051.
  11. Dimeas, A.L. and Hatziargyriou, N.D., "Operation of a multiagent system for microgrid control", IEEE Transactions on Power Systems, Vol. 20, No. 3, (2005), 1447-1455. doi: 10.1109/TPWRS.2005.852060.
  12. Li, P., Xu, D., Zhou, Z., Lee, W.-J. and Zhao, B., "Stochastic optimal operation of microgrid based on chaotic binary particle swarm optimization", IEEE Transactions on Smart Grid, Vol. 7, No. 1, (2015), 66-73. doi: 10.1109/TSG.2015.2431072.
  13. Arefifar, S.A., Ordonez, M. and Mohamed, Y.A.-R.I., "Energy management in multi-microgrid systems—development and assessment", IEEE Transactions on Power Systems, Vol. 32, No. 2, (2016), 910-922. doi: 10.1109/TPWRS.2016.2568858.
  14. Kargarian, A. and Rahmani, M., "Multi-microgrid energy systems operation incorporating distribution-interline power flow controller", Electric Power Systems Research, Vol. 129, (2015), 208-216. doi: 10.1016/j.epsr.2015.08.015.
  15. Jha, S., Hussain, I., Singh, B. and Mishra, S., "Optimal operation of pv‐dg‐battery based microgrid with power quality conditioner", IET Renewable Power Generation, Vol. 13, No. 3, (2019), 418-426. doi: 10.1049/iet-rpg.2018.5648.
  16. Aghdam, F.H., Salehi, J. and Ghaemi, S., "Contingency based energy management of multi-microgrid based distribution network", Sustainable Cities and Society, Vol. 41, (2018), 265-274. doi: 10.1016/j.scs.2018.05.019.
  17. Parag, Y. and Ainspan, M., "Sustainable microgrids: Economic, environmental and social costs and benefits of microgrid deployment", Energy for Sustainable Development, Vol. 52, (2019), 72-81. doi: 10.1016/j.esd.2019.07.003.
  18. Niknam, T., Azizipanah-Abarghooee, R. and Narimani, M.R., "An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation", Applied Energy, Vol. 99, (2012), 455-470. doi: 10.1016/j.apenergy.2012.04.017.
  19. Khodaei, A., Bahramirad, S. and Shahidehpour, M., "Microgrid planning under uncertainty", IEEE Transactions on Power Systems, Vol. 30, No. 5, (2014), 2417-2425. doi: 10.1109/TPWRS.2014.2361094.
  20. Xiang, Y., Liu, J. and Liu, Y., "Robust energy management of microgrid with uncertain renewable generation and load", IEEE Transactions on Smart Grid, Vol. 7, No. 2, (2015), 1034-1043. doi: 10.1109/TSG.2014.2385801.
  21. Bahramirad, S., Reder, W. and Khodaei, A., "Reliability-constrained optimal sizing of energy storage system in a microgrid", IEEE Transactions on Smart Grid, Vol. 3, No. 4, (2012), 2056-2062. doi: 10.1109/TSG.2012.2217991.
  22. Sankarkumar, R.S. and Natarajan, R., "Energy management techniques and topologies suitable for hybrid energy storage system powered electric vehicles: An overview", International Transactions on Electrical Energy Systems, Vol. 31, No. 4, (2021), e12819. doi: 10.1002/2050-7038.12819.
  23. Bahmani-Firouzi, B. and Azizipanah-Abarghooee, R., "Optimal sizing of battery energy storage for micro-grid operation management using a new improved bat algorithm", International Journal of Electrical Power & Energy Systems, Vol. 56, No., (2014), 42-54. doi: 10.1016/j.ijepes.2013.10.019.
  24. Branco, H., Castro, R. and Lopes, A.S., "Battery energy storage systems as a way to integrate renewable energy in small isolated power systems", Energy for Sustainable Development, Vol. 43, (2018), 90-99. doi: 10.1016/j.esd.2018.01.003.
  25. Chen, S.X., Gooi, H.B. and Wang, M., "Sizing of energy storage for microgrids", IEEE Transactions on Smart Grid, Vol. 3, No. 1, (2011), 142-151. doi: 10.1109/TSG.2011.2160745.
  26. Al-Ghussain, L., Samu, R., Taylan, O. and Fahrioglu, M., "Sizing renewable energy systems with energy storage systems in microgrids for maximum cost-efficient utilization of renewable energy resources", Sustainable Cities and Society, Vol. 55, (2020), 102059.
  27. Xiao, J., Wang, P. and Setyawan, L., "Hierarchical control of hybrid energy storage system in dc microgrids", IEEE Transactions on Industrial Electronics, Vol. 62, No. 8, (2015), 4915-4924. doi: 10.1109/TIE.2015.2400419.
  28. Xu, Y., Zhang, W., Hug, G., Kar, S. and Li, Z., "Cooperative control of distributed energy storage systems in a microgrid", IEEE Transactions on Smart Grid, Vol. 6, No. 1, (2014), 238-248. doi: 10.1109/TSG.2014.2354033.
  29. Jing, W., Hung Lai, C., Wong, S.H.W. and Wong, M.L.D., "Battery‐supercapacitor hybrid energy storage system in standalone dc microgrids: Areview", IET Renewable Power Generation, Vol. 11, No. 4, (2017), 461-469. doi: 10.1049/iet-rpg.2016.0500.
  30. Ahmadigorji, M. and Mehrasa, M., "A robust renewable energy source-oriented strategy for smart charging of plug-in electric vehicles considering diverse uncertainty resources", International Journal of Engineering, Transactions A: Basics, Vol. 36, No. 4, (2023), 709-719. doi: 10.5829/ije.2023.36.04a.10.
  31. Saber, A.Y. and Venayagamoorthy, G.K., "Intelligent unit commitment with vehicle-to-grid—a cost-emission optimization", Journal of Power Sources, Vol. 195, No. 3, (2010), 898-911. doi: 10.1016/j.jpowsour.2009.08.035.
  32. Zhang, N., Hu, Z., Han, X., Zhang, J. and Zhou, Y., "A fuzzy chance-constrained program for unit commitment problem considering demand response, electric vehicle and wind power", International Journal of Electrical Power & Energy Systems, Vol. 65, No., (2015), 201-209. doi: 10.1016/j.ijepes.2014.10.005.
  33. Lin, X., Sun, J., Ai, S., Xiong, X., Wan, Y. and Yang, D., "Distribution network planning integrating charging stations of electric vehicle with V2G", International Journal of Electrical Power & Energy Systems, Vol. 63, (2014), 507-512. doi: 10.1016/j.ijepes.2014.06.043.
  34. Rana, R., Singh, M. and Mishra, S., "Design of modified droop controller for frequency support in microgrid using fleet of electric vehicles", IEEE Transactions on Power Systems, Vol. 32, No. 5, (2017), 3627-3636. doi: 10.1109/TPWRS.2017.2651906.
  35. Derakhshandeh, S.Y., Masoum, A.S., Deilami, S., Masoum, M.A. and Golshan, M.H., "Coordination of generation scheduling with pevs charging in industrial microgrids", IEEE Transactions on Power Systems, Vol. 28, No. 3, (2013), 3451-3461. doi: 10.1109/TPWRS.2013.2257184.
  36. Berndt, E.R. and Wood, D.O., "Technology, prices, and the derived demand for energy", The review of Economics and Statistics, (1975), 259-268. doi: 10.2307/1923910.
  37. Khodayar, M.E., Wu, L. and Shahidehpour, M., "Hourly coordination of electric vehicle operation and volatile wind power generation in scuc", IEEE Transactions on Smart Grid, Vol. 3, No. 3, (2012), 1271-1279. doi: 10.1109/TSG.2012.2186642.