Multi-Agent Supply and Demand Optimization Strategy for Microgrid Considering Shared Energy Storage

As a novel energy storage model, the shared energy storage (SES) reduces the construction cost of users effectively and has the advantages of promoting renewable energy consumption, optimizing energy management, and improving the reliability of power supply. In order to provide a comprehensive view of the micro-grid system and improve system economic efficiency, a multi-agent supply and demand optimization strategy for microgrid considering SES is proposed in this study. Firstly, the optimal scheduling model for the microgrid considering SES is constructed. And the optimal operation strategy of the users is designed according to the total operation cost function and the system constraints. In order to verify the validity of the model, the optimized operation strategy designed for a case of the microgrid system is presented. According to the experimental results, the optimized operation strategy designed in this study avoids the curtailment of wind and PV power, and the daily electricity cost of microgrid users is reduced to 1.4486¥, which may shed some lights on the operational strategies of the microgrid systems in reality.