A two-layer nested game for an active energy community including shared energy storage and multiple prosumers under renewable portfolio standards

• A pricing strategy is proposed to tackle renewable energy consumption problem under Renewable Portfolio Standards (RPS). • A two-layer nested game is proposed to facilitate the electricity transaction amongst various prosumers under RPS. • The alternating direction method of multipliers (ADMM) is adopted for privacy protection. • A realistic case in the context of China’s electricity market is performed. The renewable portfolio standards (RPS) offers a promising solution to the challenge of high-level penetration of renewable energy into the next-generation power grid. The shared energy storage (SES) has emerged as a crucial innovation that significantly aids prosumers in fulfilling RPS requirements. This paper proposes a two-layer nested game model to capture the interactions between SES and prosumers in an active energy community, and with the external main grid, hydropower station, and wind farm. In the upper layer, a Stackelberg game model is established, in which SES acts as the leader maximizing profit by offering electricity prices, while the alliance of prosumers is the follower responding to the prices through demand response and peer-to-peer (P2P) energy exchange. In the lower layer, a cooperative game is constructed for the prosumer alliance, the contributions of individual prosumers are scored and the asymmetric Nash bargaining is utilized to fairly allocate the total expense within the prosumer alliance. The alternating direction method of multipliers (ADMM) is adopted for privacy protection. A case study of a real active energy community in Southwest China demonstrates effectiveness and robustness of the proposed model under diverse conditions. The computational results also confirm the model achieves greater stability, reduces prosumers’ expenses, and mitigates the dependence on SES.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-05-18
DOI
https://doi.org/10.1016/j.ijepes.2025.110748
Citations
6
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
4.38
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article

A two-layer nested game for an active energy community including shared energy storage and multiple prosumers under renewable portfolio standards

Zezhou Xu, Yanghui Zhang, Yaxin Tan, Weisheng Xu et al.
6 citations
International Journal of Electrical Power & Energy Systems
Smart Grid Energy Management
4.38
article

A two-layer nested game for an active energy community including shared energy storage and multiple prosumers under renewable portfolio standards

Zezhou Xu, Yanghui Zhang, Yaxin Tan, Weisheng Xu, Ruirui Tong
article en
6 citations

Abstract

• A pricing strategy is proposed to tackle renewable energy consumption problem under Renewable Portfolio Standards (RPS). • A two-layer nested game is proposed to facilitate the electricity transaction amongst various prosumers under RPS. • The alternating direction method of multipliers (ADMM) is adopted for privacy protection. • A realistic case in the context of China’s electricity market is performed. The renewable portfolio standards (RPS) offers a promising solution to the challenge of high-level penetration of renewable energy into the next-generation power grid. The shared energy storage (SES) has emerged as a crucial innovation that significantly aids prosumers in fulfilling RPS requirements. This paper proposes a two-layer nested game model to capture the interactions between SES and prosumers in an active energy community, and with the external main grid, hydropower station, and wind farm. In the upper layer, a Stackelberg game model is established, in which SES acts as the leader maximizing profit by offering electricity prices, while the alliance of prosumers is the follower responding to the prices through demand response and peer-to-peer (P2P) energy exchange. In the lower layer, a cooperative game is constructed for the prosumer alliance, the contributions of individual prosumers are scored and the asymmetric Nash bargaining is utilized to fairly allocate the total expense within the prosumer alliance. The alternating direction method of multipliers (ADMM) is adopted for privacy protection. A case study of a real active energy community in Southwest China demonstrates effectiveness and robustness of the proposed model under diverse conditions. The computational results also confirm the model achieves greater stability, reduces prosumers’ expenses, and mitigates the dependence on SES.

International Journal of Electrical Power & Energy SystemsVol. 169
Tongji University (CN)
Affordable and clean energy
Openalex Percentile: Top 6%
Smart Grid Energy Management
4.38
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