基于改进粒子群算法的风光蓄互补发电系统容量优化

摘要

Reasonable deploy the electric capacity of hybrid wind-solar-battery power system can reduce the energy waste and reduce the system cost as well as improve the reliability of power supply through utilizing the complementary characteristic of wind-solar.A capacity optimization method is realized based on the amelioration of particle swarm optimization for hybrid wind-solar-battery power system.Above all, the calculation model of system costs is established according to the consideration of whole life cycle, and the particle swarm optimization is ameliorated by utilizing nonlinear dynamic improved inertial weight strategy in the limiting indexes of low cost, low loss of load probability and low energy wastage rate.Then, optimized configuration of system capacity is made and the simulation calculation of examples is finished in MATLAB.The results show that this configuration scheme of capacity after being improved the arithmetic can reduce the system cost and decrease the loss of load probability.%合理配置风光蓄互补发电系统的容量,能够利用风能和太阳能的互补性减少能量的浪费,降低系统成本,提高可靠性,针对风光蓄互补发电系统提出了一种基于改进粒子群算法的容量优化方法.按照全生命周期搭建了系统成本的计算模型;以系统成本最少为目标,负荷缺电率和能量浪费率等指标为约束条件,采用非线性动态改进惯性权重策略对粒子群算法进行改进;在此基础上对系统容量进行优化配置;最后在MATLAB中对算例进行仿真,结果表明:算法改进后的容量配置方案不仅降低了系统成本而且减少了能量浪费率.