Master-Slave Game-Based Robust Pricing Method of Shared Energy Storage Considering Renewable Energy Accommodation and Energy Storage Participating in Frequency Modulation

doi:10.11930/j.issn.1004-9649.202301004

Abstract

Abstract: For the unclear trading mechanism of large-scale energy storage application and the difficulty in recovering investment costs, this paper proposes a pricing method for shared energy storage. A distributionally robust pricing model based on master-slave game for shared energy storage with shared energy storage operators as leaders and wind farms as followers considering energy storage participating in frequency modulation is built. The upper layer aims at maximizing the profit of shared energy storage operators. It is proposed that energy storage can not only benefit from wind farms but also obtain revenue by participating in system frequency modulation. The lower layer aims at maximizing the revenue of wind farms and builds a two-stage distributionally robust optimization model of wind farm considering the uncertainty of wind power. The first stage maximizes the revenue of electricity sales in the basic scenario, and the second stage minimizes the penalty cost expectation of wind farm grid deviation under uncertain scenarios. An example is designed and simulated based on the actual wind farm operation data in Northwest China. The results show that the reasonable pricing strategy of shared energy storage operators is not only conducive to improving the regulation capacity of new energy stations and reducing wind abandonment, but also increasing the utilization rate of energy storage and achieving mutual benefit and win-win results for both parties in the game.

Key words: shared energy storage, master-slave game, distributionally robust optimization, energy storage frequency modulation, pricing mechanism

QI Caijuan, CHE Bin, YANG Yan, CHEN Baosheng. Master-Slave Game-Based Robust Pricing Method of Shared Energy Storage Considering Renewable Energy Accommodation and Energy Storage Participating in Frequency Modulation[J]. Electric Power, 2023, 56(8): 26-39.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202301004

https://www.electricpower.com.cn/EN/Y2023/V56/I8/26

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