基于负荷分类的风光蓄家庭微电网的独立运行能量优化管理

摘要

针对家庭场景的风光蓄能源微电网独立运行,从需求侧管理的角度出发,提出一种基于柔性负荷控制和虚拟储能的能量优化管理策略,就家庭能源系统的场景建立系统模型.基于负荷分类控制和供需能量预测,提出在可靠供电前提下的以最小运行和维护成本为目标的能量优化策略;最后,利用粒子群算法进行优化求解,以某地的实际风光数据为例进行仿真验证.仿真结果表明,提出的优化策略能够有效减少蓄电池的充放电容量,达到利用虚拟储能改善微电网经济性的目的.%For household independent micro-grid,a kind of energy optimization management strategy based on flexible load control and virtual energy storage was presented from the point of view of the demand side management.The model of household energy system was established at first.Then,an energy optimization strategy based on load classification control and energy demand prediction was proposed in order to minimize the operation cost and maintenance cost and improve reliability of power supply.And more,the simulation based on actual wind and solar data was operated using particle swarm algorithm.The results show that the proposed optimization strategy can effectively reduce the charge and discharge capacity of the battery and improve the micro network economy through using virtual energy storage.