基于改进粒子群算法对混合微网电源容量的优化

Optimize for Capacities of Multi-Type Micro-sources in Hybrid Micro-grid Based on Improved Particle Swarm Algorithm

通过在全寿命周期成本经济性模型引入微源选择的影响因素,并改进了结合模拟退火算法的粒子群算法,对多电源混合微网各微源容量进行最优配置。仿真计算结果表明,本文提出的经济性等值模型很好地实现了微电源的优化配置,改进的模拟退火-粒子群算法有较好的收敛率。

By introducing the influence factors to the model of LCC,and combining with improved particle swarm algorithm of the simulated annealing algorithm,this paper optimizes the Micro-source capacity in hybrid Microgrid.The results of the simulating sample show that the Micro-source model and method proposed in this paper has implemented the optimization of Micro-source efficiently,and the improved simulated annealing-particle swarm algorithm be provided with fine constriction.