Collaborative Optimization Operation Strategy of Photovoltaic Community Leasing Energy Storage Based on Master-slave Game
Along with the rapid development of user-side distributed power generation technology, it has become an important development trend to improve the reliability and economy of community energy use through the configuration of energy storage, and how to build a joint interaction mechanism of energy storage and user-side resource energy sharing has become a key direction of energy storage layout in the user side. Under the background of energy interconnection, this paper proposes a cooperative optimization operation strategy based on masterslave game for photovoltaic community leasing energy storage. Firstly, the overall operation framework of PV community leasing energy storage is introduced, and the functions of each interest subject are analyzed. Then, an optimization model is built for community integrated energy operator (ICEO), energy storage operator (ESO), and community load aggregator, respectively. The game relationship among the subjects is analyzed, and a master-multiple-slave game model is constructed with ICEO as the master and ESO and community load aggregator as the slaves. The simulation results show that the proposed method is conducive to the promotion of new energy consumption, effectively takes into account the interests of multiple subjects, and then realizes the win-win cooperation between PV community and energy storage.
Authors
- Yu Huang (ORCID: https://orcid.org/0000-0001-9981-2823)
- Mengxiang Fang (ORCID: https://orcid.org/0000-0002-3282-8756)
- Yu-jia Yao
- Songmei Shi (ORCID: https://orcid.org/0000-0001-7408-3935)
Institutions
- Fuzhou University (CN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/icemce64157.2024.10862878
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.00