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

Abstract

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