中国电力2024，Vol.57Issue(7)：40-53,14.DOI:10.11930/j.issn.1004-9649.202307016
考虑主从博弈定价模式的共享储能分布鲁棒优化配置方法研究
Distributionally Robust Optimal Configuration for Shared Energy Storage Based on Stackelberg Game Pricing Model
摘要
Abstract
The goals of carbon peaking and carbon neutrality and the construction of new power system have promoted the continuous development of new energy resources,while bringing along higher demands for energy storage.When configuring energy storage for wind farms in the power system,the shared economic model is used to optimize the configuration of energy storage with consideration of the pricing mechanism,and the impact of wind generation uncertainty on the energy storage configuration scheme is discussed.Firstly,based on the Stackelberg game for determining the price,a shared energy storage optimal configuration model is proposed,in which the shared energy storage operator is the leader,wind farms are the followers,and the profit of each participant is maximized.Then,to address the fluctuations of wind power output,a moment information-based distributionally robust optimization method is introduced to construct chance constraints to describe uncertainties,where the moment information is used to complete the ambiguity set to reduce the conservatism.The wind farm model is reconstructed into a mixed integer second-order cone programming model through Chebyshev inequality for solution.Finally,case studies are conducted based on the actual wind farm data in Ningxia,and the results show that the proposed optimal configuration model can reduce redundant investment,promote energy storage to participate in configuration and address the actual wind power generation fluctuations.关键词
共享储能/储能配置/主从博弈/分布鲁棒优化/储能服务定价Key words
shared energy storage/energy storage configuration/Stackelberg game/distributionally robust optimization/energy storage service pricing引用本文复制引用
齐彩娟,陈宝生,韦冬妮,杨钊..考虑主从博弈定价模式的共享储能分布鲁棒优化配置方法研究[J].中国电力,2024,57(7):40-53,14.基金项目
国网宁夏电力有限公司科技项目(促进大规模新能源消纳的电网侧共享储能定价机制与规划投资决策研究,B329JY210004). This work is supported by Science and Technology Project of State Grid Ningxia Electric Power Co.,Ltd.(Research on Pricing Mechanism and Planning Investment Decision of Grid-side Shared Energy Storage to Promote Large-scale Renewable Energy Accommodation,No.B329JY210004). （促进大规模新能源消纳的电网侧共享储能定价机制与规划投资决策研究,B329JY210004）
