可再生能源2013，Vol.31Issue(3)：69-72,4.
基于交互式多目标优化算法的风光互补发电系统优化
Optimization of wind-PV hybrid power systems based on interactive multi-objective optimization algorithm
摘要
Abstract
The configuration optimization of wind-PV hybrid power systems may consider as a problem of multi-object optimization problem, in which the optimization objective is minimizing system installation cost, subject to power reliability. It was a key how to reasonably settle the configuration to give full play to the superiority of hybrid power systems. An interactive multi-objective optimization algorithm based on preference was proposed in the calculation of the cost (objective) function minimization, the populations, composition of target weight value , was optimized by interactive genetic algorithm, the weighted single objective function was optimized by particle swarm optimization algorithm, which were applied to configuration optimization of wind-PV hybrid power systems. The result shows that the economic performance of the hybrid power systems is superior to that of the single photovoltaic power system or single wind power system under the prerequisite for satisfying the load demand.关键词
风光互补发电系统/多目标优化算法/遗传算法/优化配置Key words
wind-PV hybrid power systems/multi-objective optimization algorithm/genetic algorithm/configuration optimization分类
能源科技引用本文复制引用
周天沛,孙伟..基于交互式多目标优化算法的风光互补发电系统优化[J].可再生能源,2013,31(3):69-72,4.基金项目
2011年徐州市科学科技创新基金资助项目(XJ11B002). （XJ11B002）
