Coordinated Multi-Scenario Optimization Strategy for Park Photovoltaic Storage Based on Master-Slave Game

Optimizing the operation of photovoltaic (PV) storage systems is crucial for meeting the load demands of parks while minimizing curtailment and enhancing economic efficiency. This paper proposes a multi-scenario collaborative optimization strategy for PV storage systems based on a master-slave game...

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Published inSensors (Basel, Switzerland) Vol. 24; no. 15; p. 5042
Main Authors Wang, Jiang, Lan, Jinchen, Wang, Lianhui, Lin, Yan, Hao, Meimei, Zhang, Yan, Xiang, Yang, Qin, Liang
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 04.08.2024
Subjects
Analysis
Case studies
China
Collaboration
Demand side management
dual-level optimization
economic analysis
Efficiency
Electricity
Electricity distribution
Energy consumption
Energy management
Energy storage
Laws, regulations and rules
master–slave game
multi-application scenarios
Optimization
Parks
Parks & recreation areas
photovoltaic storage park
Power supply
Solar energy industry
Sports officiating
Wage & price controls
China
multi-application scenarios
photovoltaic storage park
economic analysis
master–slave game
dual-level optimization
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Summary:Optimizing the operation of photovoltaic (PV) storage systems is crucial for meeting the load demands of parks while minimizing curtailment and enhancing economic efficiency. This paper proposes a multi-scenario collaborative optimization strategy for PV storage systems based on a master-slave game model. Three types of energy storage system (ESS) application scenarios are designed to comprehensively stabilize PV fluctuations, compensate for load transfers, and participate in the frequency regulation (FR) market, thereby optimizing the overall operational strategy of PV storage systems in parks. The upper-level objective is to maximize the park operators' profit, while the lower-level objective is to minimize the user's power supply costs. Case studies demonstrate that this strategy can significantly increase the economic benefits for park operators by 25.8%, reduce user electricity expenditures by 5.27%, and lower curtailment through a load response mechanism, thereby promoting the development and construction of PV storage parks.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s24155042