Collaborative Optimization Strategy of Shared Energy Storage Based on User Point-to-Point Transaction

Guihong ZHANG , Fei LIU , Xu TIAN , Zuoxia BAI , Yabin DU , Bin LI

›› 2023, Vol. 17 ›› Issue (8) : 143 -152.

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›› 2023, Vol. 17 ›› Issue (8) : 143 -152. DOI: 10.13648/j.cnki.issn1674-0629.2023.08.016
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Collaborative Optimization Strategy of Shared Energy Storage Based on User Point-to-Point Transaction

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Abstract

As a new operation mode, shared energy storage can effectively reduce the investment cost and use cost. Therefore, a shared energy storage operation optimization strategy based on user point-to-point energy transaction is proposed. Participating users can give priority to using their own distributed energy for point-to-point energy transaction, fill the energy gap and reduce the cost of using energy storage. In the collaborative optimization of users and shared energy storage, the load regulation characteristics of users are considered, and appropriate regulation is carried out according to electricity price, transaction and other information to realize economic operation. Using historical data for simulation verification, the results show that the proposed method can effectively use the regulation characteristics of various loads of users, reduce the operation cost of users, reduce the service cost of using shared energy storage and the power purchase cost of power grid through user energy point-to-point transaction, and realize the win-win situation of users.

Keywords

shared energy storage / collaborative optimization / load regulation characteristics / point-to-point transactions

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Guihong ZHANG,Fei LIU,Xu TIAN,Zuoxia BAI,Yabin DU,Bin LI. Collaborative Optimization Strategy of Shared Energy Storage Based on User Point-to-Point Transaction. 2023, 17(8): 143-152 DOI:10.13648/j.cnki.issn1674-0629.2023.08.016

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the National Natural Science Foundation of China(52177082)

the Science and Technology Project of State Grid Corporation of China(SGQHJY00GHJS2100232)

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