陈岑, 武传涛, 康慨, 林湘宁, 马云聪, 随权, 徐海波. 基于改进Owen值法的分布式储能双层合作博弈优化策略[J]. 中国电机工程学报, 2022, 42(11): 3924-3935. DOI: 10.13334/j.0258-8013.pcsee.211275
引用本文: 陈岑, 武传涛, 康慨, 林湘宁, 马云聪, 随权, 徐海波. 基于改进Owen值法的分布式储能双层合作博弈优化策略[J]. 中国电机工程学报, 2022, 42(11): 3924-3935. DOI: 10.13334/j.0258-8013.pcsee.211275
CHEN Cen, WU Chuantao, KANG Kai, LIN Xiangning, MA Yuncong, SUI Quan, XU Haibo. Optimal Strategy of Distributed Energy Storage Two-layer Cooperative Game Based on Improved Owen-value Method[J]. Proceedings of the CSEE, 2022, 42(11): 3924-3935. DOI: 10.13334/j.0258-8013.pcsee.211275
Citation: CHEN Cen, WU Chuantao, KANG Kai, LIN Xiangning, MA Yuncong, SUI Quan, XU Haibo. Optimal Strategy of Distributed Energy Storage Two-layer Cooperative Game Based on Improved Owen-value Method[J]. Proceedings of the CSEE, 2022, 42(11): 3924-3935. DOI: 10.13334/j.0258-8013.pcsee.211275

基于改进Owen值法的分布式储能双层合作博弈优化策略

Optimal Strategy of Distributed Energy Storage Two-layer Cooperative Game Based on Improved Owen-value Method

  • 摘要: 针对当前用户侧分布式储能存在的成本较高、利用率低、布局分散等问题,提出一种分布式储能双层合作共享策略,通过分时复用提高储能资源的利用率和经济性。首先,阐述以社区为上层单元、以用户为下层单元的分布式储能双层点对点(peer to peer,P2P)共享交易模式。其次,将分布式储能合作共享问题分解为容量交易子问题和成本分摊子问题。接着,采用交替方向乘子(alternating direction method of multipliers,ADMM)算法构建分布式储能容量双层交易模型,上层侧重于社区间储能共享优化,而下层旨在解决社区内用户储能共享优化。在此基础上,进一步设计一种基于改进Owen值法的双层成本分摊策略,上层采用Shapley值法进行社区间成本分摊,而在下层通过双边Shapley值法完成社区内成本再分摊,以此解决广泛用户群体带来的维数灾和隐私保护问题,同时兼顾各方收益均衡。最后,通过算例仿真验证所提P2P合作共享模式的可行性和优越性,以及成本分摊策略的公平性。

     

    Abstract: Aiming at the existing problems of high cost, low utilization rate and scattered layout of user-side distributed energy storage (DES), this paper proposed a two-layer DES cooperative sharing strategy to improve the utilization rate and economy of DES through time division multiplexing. Firstly, a two-layer DES peer-to-peer (P2P) sharing transaction mode was described with the community as the upper unit and the user as the lower unit. Secondly, the cooperative sharing problem of DES was decomposed into capacity trading sub-problem and cost sharing sub-problem. Then, the alternating direction method of multipliers (ADMM) algorithm was used to build a two-layer capacity trading model. The upper layer focuses on the optimization of DES sharing among communities, while the lower layer aims at the optimization of DES sharing among users within communities. On this basis, a two-stage cost allocation strategy based on the improved Owen value method was further designed. In the first stage, Shapley value method was used for cost allocation among communities. In the second stage, cost reallocation within communities was completed through bilateral Shapley value method. This strategy can be used to solve the dimension disaster and privacy protection problems caused by a wide range of users and to balance the income of all users. Finally, the feasibility and superiority of the proposed sharing mode and the fairness of the allocation strategy have been verified by a simulation example.

     

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