微电网混合储能系统容量优化配置的研究

Research on Capacity Optimization of Micro-grid Hybrid Energy Storage System

储能装置是微电网的一部分,对保证电力系统运行的经济性、可靠性起到关键作用。本文建立了蓄电池和超级电容器两类储能装置模型,综合分析了影响储能装置容量的因素,优化微电网储能装置容量的模型,将粒子群优化算法(PSO)改进为可变惯性权重,对改进后的算法进行了优化,得到了投资成本最小的目标函数。最后进行算例分析,结果表明:改良后的粒子群算法在保证电力供给稳定性的同时,还能最小化储存容量,保证微电网容量配置的经济性。

As a part of microgrid,energy storage device plays a key role in ensuring the reliability,economy and stability of power system operation.Firstly,the models of the storage battery and the supercapacitor are established respectively,and the factors influencing the capacity of the storage device are comprehensively analyzed.And micro electric energy storage device capacity optimization model is established,the particle swarm optimization(PSO)carry on the improvement of variable inertia weight,the improved algorithm to build the least cost of objective function for optimization solution,and finally through the case analysis,the results show that the improved particle swarm optimization(PSO)algorithm,the guarantee the stability of the power at the same time,minimize the energy storage capacity,to ensure the micro grid capacity allocation efficiency.