Volume 2: Innovative Solutions for Energy Transitions: Part I

Multi-Objective Optimal Scheduling of Grid-Connected Microgrid Considering Energy Storage and Load Management Xuefeng Li , Dan Wang, Chaoxu Mu



This paper focuses on the optimal dispatching of microgrid with photovoltaic and energy storage. Firstly, considering the constraints of energy storage, interruptible load and transferable load, a multi-objective optimization model of grid-connected microgrid under time-sharing price and demand response is established, aiming at minimizing the operation cost, environmental cost and tie-line power fluctuation of microgrid. Then, aiming at the multi-objective, multi-constraint and non-linear characteristics of the model, an optimization solution method based on non-dominated sorting genetic algorithm-II (NSGA-II) is proposed. Finally, the article simulates the case based on MATLAB and OPENDSS joint simulation platform. The results of the example prove the validity and rationality of the model.

Keywords microgrid, multi-objective optimization, demand response, NSGA-II

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