Operation Optimization of Micro-Grid Group Sharing Energy Storage Based on Game Theory

In order to avoid the problems of poor economic benefits and low utilization rate of renewable energy in multi-microgrid configuration of shared energy storage, an optimal scheduling method of microgrid cluster shared energy storage based on master-slave game theory is proposed. Firstly, the microgrid cluster system and the shared energy storage operator are systematically modeled. A master-slave game optimization model is constructed to share energy storage operators to provide energy storage leasing and participate in peak shaving of distribution network. Pursuing the maximum profit, adjusting the rental capacity according to the rental price to reduce its own electricity cost; finally, the energy storage leasing capacity and shared energy storage scheduling strategy in the microgrid are solved. The proposed method improves the profit of energy storage, improves the utilization efficiency of shared energy storage power station and microgrid cluster, and improves the economy of micro grid operation.

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Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1109/iceaai64185.2025.10956414
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Operation Optimization of Micro-Grid Group Sharing Energy Storage Based on Game Theory

Tianyu Li, Quanli Guo
Power Systems and Renewable Energy
article

Operation Optimization of Micro-Grid Group Sharing Energy Storage Based on Game Theory

Tianyu Li, Quanli Guo
article en

Abstract

In order to avoid the problems of poor economic benefits and low utilization rate of renewable energy in multi-microgrid configuration of shared energy storage, an optimal scheduling method of microgrid cluster shared energy storage based on master-slave game theory is proposed. Firstly, the microgrid cluster system and the shared energy storage operator are systematically modeled. A master-slave game optimization model is constructed to share energy storage operators to provide energy storage leasing and participate in peak shaving of distribution network. Pursuing the maximum profit, adjusting the rental capacity according to the rental price to reduce its own electricity cost; finally, the energy storage leasing capacity and shared energy storage scheduling strategy in the microgrid are solved. The proposed method improves the profit of energy storage, improves the utilization efficiency of shared energy storage power station and microgrid cluster, and improves the economy of micro grid operation.

Shenyang Institute of Engineering (CN)
Affordable and clean energy
Openalex Percentile: Top 94%
Power Systems and Renewable Energy
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