电测与仪表2017，Vol.54Issue(16)：50-55,6.
基于改进粒子群算法的风光蓄互补发电系统容量优化
Capacity optimization of hybrid wind-solar-battery power system based on improved particle swarm optimization
摘要
Abstract
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.关键词
风光蓄互补发电系统/粒子群算法/容量优化/成本Key words
hybrid wind-solar-battery power system/particle swarm optimization/capacity分类
信息技术与安全科学引用本文复制引用
唐浩,杨国华,王鹏珍,李瑞,张丽娜,王金梅..基于改进粒子群算法的风光蓄互补发电系统容量优化[J].电测与仪表,2017,54(16):50-55,6.基金项目
国家自然科学基金资助项目(71263043) （71263043）
宁夏自然基金项目(NZ17022) （NZ17022）
