Energy Sharing and Demand Response Model of Intelligent Community Based on Alliance Game

Yang ZENG , Jun WAN , Yanxiang YANG , Yunlai ZHONG , Zhang SUN

›› 2021, Vol. 15 ›› Issue (12) : 28 -35.

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›› 2021, Vol. 15 ›› Issue (12) : 28 -35. DOI: 10.13648/j.cnki.issn1674-0629.2021.12.004
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Energy Sharing and Demand Response Model of Intelligent Community Based on Alliance Game

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Abstract

A power sharing and demand response model of intelligent community is proposed in this paper to optimize the energy flow and power structure of a residential community with multiple intelligent buildings including photovoltaic output (PV), energy storage unit (ESS), electric vehicle (EV) and user load. Firstly, the demand response model of intelligent residential area is established to optimize the electricity consumption structure of residential area users. On this basis, all members in the community share energy, and EV and ESS are added to the sharing model. The whole community forms an energy sharing alliance by sharing renewable resources and energy storage system, and the benefits obtained from the alliance are distributed among the members through the cooperative game method (Shapley value). Finally, the example simulation analysis and strategy comparison experiment are carried out. The results show that the energy sharing and demand response model proposed in this paper can effectively realize the optimal distribution of electric energy and save the cost of electric power consumption for each intelligent building and the whole community.

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intelligent community / Shapley value / alliance game / electric energy sharing / electric vehicle / day-ahead dispatching

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Yang ZENG,Jun WAN,Yanxiang YANG,Yunlai ZHONG,Zhang SUN. Energy Sharing and Demand Response Model of Intelligent Community Based on Alliance Game. 2021, 15(12): 28-35 DOI:10.13648/j.cnki.issn1674-0629.2021.12.004

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the Science Project of Science and Technology Department of Sichuan Province(2021YFG0204)

the Science Project of Science and Technology Department of Sichuan Province(2021JDKP0103)

the Science Project of Science and Technology Department of Sichuan Province(2020YFG0410)

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