智能配电网中分布式储能的多目标优化与健壮控制研究

Research on Multi-Objective Optimization and Robust Control of Distributed Energy Storage in Smart Grid

在智能配电网中,分布式储能系统的优化调度对于提升电网的经济性和可靠性具有重要意义。文章首先构建了一个多目标优化调度模型,旨在通过多目标遗传算法实现运行成本最小化、可再生能源利用率最大化,提升系统稳定性。其次,针对电网运行中的不确定性因素,采用健壮优化方法,通过线性矩阵不等式(Linear Matrix Inequality,LMI)构建健壮优化模型,以提高系统在不确定条件下的稳定性。最后,通过算例分析验证了优化调度和健壮控制策略的有效性。结果显示,优化后的调度方案在功率平稳性、成本降低以及系统稳定性方面具有显著优势。

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.