IET Generation, Transmission & Distribution (Jul 2022)

Capacity sizing of the integrated wind‐solar‐storage system: A nested game approach

  • Chuan Wang,
  • Wei Wei,
  • Yuguang Xie,
  • Tianwen Zheng,
  • Shengwei Mei

DOI
https://doi.org/10.1049/gtd2.12396
Journal volume & issue
Vol. 16, no. 14
pp. 2852 – 2863

Abstract

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Abstract Energy storage (ES) can be a good option to reduce power curtailment and increase the total profits of an integrated energy system. This article addresses the sizing problem for the ES and renewable power plants in the integrated wind‐solar‐storage system (IWSSS). A basic IWSSS model is first constructed to analyze the operation relationship among each part. A nested game model is established to study the capacity sizing problem. The outer layer is a non‐cooperative game among the wind power plant (WPP), the solar power plant (SPP) and the ES. Each of them aims to obtain the maximum revenue which is calculated from the imputation method in the inner cooperative game. This nested game considers both the competitive relationship among three players and the reasonable imputation scheme in the grand system. A nested game algorithm is then proposed to solve this sizing problem and the optimal capacity of each player is found when the Nash equilibrium is achieved. According to the case studies, the optimal capacity ratio of the WPP, the SPP and the ES should be 0.73:0.19:0.08 under the unit transmission line capacity. Results are also conducted to demonstrate the effectiveness of the approach compared with the other two methods.