Research on Multi-Objective Optimization and Robust Control of Distributed Energy Storage in Smart Grid
In smart distribution network,the optimal scheduling of distributed energy storage system is of great significance to improve the economy and reliability of power grid.Firstly,the article constructs a multi-objective optimization scheduling model,aiming at minimizing the operating cost,maximizing the utilization rate of renewable energy and improving the stability of the system through multi-objective genetic algorithm.Secondly,aiming at the uncertain factors in power grid operation,a robust optimization model is constructed by using the robust optimization method and Linear Matrix Inequality(LMI)to improve the stability of the system under uncertain conditions.Finally,the effectiveness of the optimal scheduling and robust control strategy is verified by an example analysis.The results show that the optimized scheduling scheme has obvious advantages in power stationarity,cost reduction and system stability.
smart distribution networkdistributed energy storage systemmulti-objective optimizationrobust control
万方数据
维普
