基于改进Myerson值法的云储能双层优化运营模型

doi:10.11930/j.issn.1004-9649.202212071

摘要/Abstract

摘要： 为深度挖掘集中式共享储能与分布式储能的在未来新型能源结构中的作用，提出了一种考虑多主体价值协同的云储能双层优化运营模型。首先，建立了综合利用共享储能规模效应和分布式储能用户互补性的云储能双层模型。其中，上层目标函数为考虑共享储能全生命周期成本的日经济效益最优；下层以用户联盟日运行成本最低为目标，并通过目标级联分析法（ATC）双层并行优化求解。为兼顾各参与主体利益及实现路径，提出改进Myerson值法解决链式联盟成本分摊和用户群带来的维数灾问题。最后，仿真结果表明，该模型可进一步提升社会整体层面上对清洁能源的消纳能力，且所提成本分摊方法能实现多方共赢，为未来用户侧大规模储能应用提供参考。

关键词: 云储能, 新能源消纳, 目标级联分析法, 改进Myerson值法, 成本分摊

Abstract: To deeply explore the role of centralized shared energy storage and distributed energy storage in the future new energy structure, this paper proposes a two-layer optimization operation model of cloud energy storage considering multi-agent value coordination. Firstly, a two-layer cloud energy storage model is built based on the scale effect of shared energy storage and the complementarity of distributed energy storage users. The upper objective function is the optimal daily economic benefit considering the full lifecycle cost of shared energy storage. The lower layer aims at the lowest daily operation cost of the user alliance and is solved by two-layer parallel optimization of analytic target cascading (ATC). To take into account the interests of each participant and the realization paths, the paper puts forward an improved Myerson value method to address the curse of dimensionality caused by cost allocation and user groups of chain alliance. Finally, the simulation results show that the model can further improve the consumption capacity of clean energy in the whole society, and the proposed cost allocation method can yield win-win results, providing references for future user-side large-scale energy storage applications.

Key words: cloud energy storage, new energy consumption, analytic target cascading, improved Myerson value method, cost allocation

魏震波, 李银江, 张雯雯, 杨超. 基于改进Myerson值法的云储能双层优化运营模型[J]. 中国电力, 2023, 56(7): 198-206.

WEI Zhenbo, LI Yinjiang, ZHANG Wenwen, YANG Chao. Two-Layer Optimization Operation Model of Cloud Energy Storage Based on Improved Myerson Value Method[J]. Electric Power, 2023, 56(7): 198-206.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202212071

https://www.electricpower.com.cn/CN/Y2023/V56/I7/198

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