Optimal Coalition Formation between Multi-Microgrids Based on a Cooperative Game Theory Model with the Penetration of Renewable Energy Resources

Majlesi Journal of Electrical Engineering

مقاله 12، دوره 17، شماره 3، آذر 2023، صفحه 97-108   

نوع مقاله: Reseach Article

شناسه دیجیتال (DOI): 10.30486/mjee.2023.1979436.1072

نویسندگان

seyede mahsa sarhaddi؛ Soodabeh Soleymani^* ؛ seyed babak mozafari

Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

چکیده

A three-level scenario-based model for optimal operational planning in order to form a coalition between multiple microgrids is presented. The proposed model is based on the cooperative game theory method. Then the basis of the coalition is to achieve optimal cumulative energy management of all coalition participants. In the proposed model, At first, a bi-level problem is designed to give the optimal exchanges that happen between independent elements (e.g. an energy storage system and a wind power plant) and microgrids. The proposed model uses a cooperative game theory method in which the players try to find a way to achieve the highest profits for the whole coalition. The bi-level model is represented as an MPEC problem. After solving this problem and determining the number of exchanges, each of the local microgrids is operated separately from the perspective of the local operator in the third level of the introduced model. In this way, the amounts of production of electrical and thermal generation units and also the energy status of the system of storing energy are determined.

کلیدواژه‌ها

Multi microgrid؛ Coalition؛ Game theory؛ Scenario-based

مراجع

• Karthik, N., et al., “A review of optimal operation of microgrids”, International Journal of Electrical and computer engineering, Vol. 14(1), pp. 1-8, 2019.
• Minciardi, R., Robba, M., “A bilevel approach for the stochastic optimal operation of interconnected microgrids”, IEEE Transactions on Automation Science and Engineering, Vol. 14(2), pp. 482-493, 2016.
• Lu, T., et al., “Interactive model for energy management of clustered microgrids”, IEEE Transactions on Industry Applications, Vol. 53(3), pp. 1739-1750, 2017.
• Xie, M., et al., “Autonomous optimized economic dispatch of active distribution system with multi-microgrids”, Energy, Vol. 153, pp. 479-489, 2018.
• Zhang, B., et al., “Robust optimization for energy transactions in multi-microgrids under uncertainty”, Applied Energy. Vol. 217, pp. 346-360, 2018.
• Jalali, M., K. Zare, and H.J.E. Seyedi, “Strategic decision-making of distribution network operator with multi-microgrids considering demand response program”, Energy. Vol. 141, pp. 1059-1071, 2017.
• Du, Y., et al., “A cooperative game approach for coordinating multi-microgrid operation within distribution systems”, Applied Energy, Vol. 222, pp. 383-395, 2018.
• Haddadian, H. and Noroozian, R., “Multi-microgrids approach for design and operation of future distribution networks based on novel technical indices”, Applied Energy, Vol. 185, pp. 650-663, 2017.
• Haddadian, H. and Noroozian, R., “Multi-Microgrid-based Operation of Active Distribution Networks Considering Demand Response Programs”, IEEE Transactions on Sustainable Energy, Vol. 10(4), pp. 1804-1812, 2018.
• Zhu, X., et al., “A Game Theoretic Approach to Energy Trading in Multi-Microgrid Systems”. in 2019 IEEE International Systems Conference (SysCon).
• Aghdam, F.H., S. Ghaemi, and N.T.J.J.o.c.p. Kalantari, “Evaluation of loss minimization on the energy management of multi-microgrid based smart distribution network in the presence of emission constraints and clean productions”, Journal of Cleaner Production. Vol. 196, pp. 185-201, 2018.
• Sofla, M. A., and King.R., “Control method for multi-microgrid connected to distribution network during peak, flat and velley period”, In 2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2014, IEEE.
• Zhang, C., et al. “The output optimization of multi-microgrids connected to distribution network during peak, flat and valley periods”. in 2014 IEEE PES Asia- Pacific Power and Energy Engineering Conference (APPEEC). 2014. IEEE.
• Alavi, S.A., et al., “Optimal probabilistic energy management in a typical micro-grid based-on robust optimization and point estimate method”, Energy Conversion and Management. Vol. 95, pp. 314-325, 2015.
• Gazijahani, F.S., et al. “A new point estimate method for stochastic optimal operation of smart distribution systems considering demand response programs”. in 2017Conference on Electrical Power Distribution Networks Conference (EPDC).
• Mazidi, M., H. Monsef, and P.J.A.e. Siano, “Robust day-ahead scheduling of smart distribution networks considering demand response programs”, Applied Energy. Vol. 178, pp. 929-942, 2016.
• Moafi, M., et al., “Optimal coalition formation and maximum profit allocation for distributed energy resources in smart grids based on cooperative game theory”, International Journal of Electrical Power and Energy Systems. 2023. 144.
• Wu, C., et al., “A novel energy cooperation framework for community energy storage systems and prosumers”, International Journal of Electrical Power and Energy Systems. 2022. 134.
• Karimi, H., et al., “A strategy-based coalition formation model for hybrid wind/PV/FC/MT/DG/battery multi-microgrid systems considering demand response programs”, International Journal of Electrical Power and Energy Systems. 2022. 136.
• Sun, R., et al., “A coalitional game theoretic energy transaction algorithm for networked microgrids”, International Journal of Electrical Power and Energy Systems. 2023. 144.
• Tiwari, S.,Singh, J. G., “Tri-level stochastic transactive energy management and improved profit distribution scheme for multi-vectored networked microgrids: A multi-objective framework”, Sustainable Cities and Society. 2023. 95.
• Sheibani, M. R., Yousefi, G. R, and Latify, M. A., “Economics of energy storage options to support a conventional power plant: A stochastic approach for optimal energy storage sizing”, Journal of Energy Storage, 2021, 33.
• Aminifar, F., Fotuhi-Firuzabad, M., and Shahidehpour, M. “Unit commitment with probabilistic spinning reserve and interruptible load considerations”, IEEE Transactions on Power Systems, 2009, 24 (1): pp. 388-397.
• Zafarania, H., Taher, S. A., and Shahidehpour, M. “Robust operation of a multicarrier energy system considering EVs and CHP units”, Energy, 2020, 192.
• Hawkes, A. D., and Leach, M. A., “Modelling high level system design and unit commitment for a microgrid”, Applied Energy, 2009, 86 (7): 1253-1265.
• Hajipour, E., Bozorg, and Fotuhi-Firuzabad, M., “Stochastic Capacity Expansion Planning of Remote Microgrids With Wind Farms and Energy Storage”, IEEE Transactions on Sustainable Energy, 2015, 6 (2): 491-498.
• Conejo, A.J., Baringo Morales, L., Jalal, K., Siddiqui, A.S., “Investment in Electricity Generation and Transmission: Decision Making under Uncertainty”, Springer International Publishing, 2016.