考虑昼夜特性的微电网分布式电源优化配置

采用改进粒子群算法对孤岛运行的微电网进行分布式电源优化配置,考虑光照强度和负荷的昼夜特性及其对供电可靠性的影响,建立包括设备初始投资成本、运行维护费用、蓄电池重置成本、燃料和环境污染惩罚费用的目标函数;提高昼夜供电可靠性的同时降低配置成本,分析蓄电池和柴油机昼夜出力特性,在此基础上研究风光供载能力和蓄电池容量对优化结果的影响。算例仿真结果证明了模型的合理性。

Distributed Generations Optimization of Microgrid with ConsideringCharacteristics of Day-Night

The improved particle swarm optimization algorithm is employed to optimize the distributed generations of independent microgrid. With considering the day-night characteristics of PV, load and its impact on reliability of power supply, the objective function which contains initial investment cost of equipments, maintenance cost, replacement cost of batteries, fuel cost and punishment cost of the environmental pollution is built. The day-night reliability of power supply is improved while the total cost is reduced. The influence of battery sizing and power supply capacity of WT and PV on optimization results are studied after analyzing the day-night output characteristics of batteries and diesel generators. The final results of example show that the models in this article are reasonable.