Optimization of Wind-PV Hybrid Power System based on Interactive Multi-objective Optimization Algorithm

摘要：

The configuration optimization of wind-pv hybrid power system may consider as a problem of multi-object optimization problem, the optimization objective as 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. 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 was applied to configuration optimization of wind-pv hybrid power systems. The result shows that the economic performance of the hybrid power system is superior to that of both the single photovoltaic power system and single wind power system under the prerequisite for satisfying the load demand.

关键词： Wind-PV hybrid power system Multi-objective optimization algorithm Particle swarm optimization algorithm Genetic algorithm Configuration optimization

作者: Tianpei Zhou Wei Sun

作者单位: Department of Mechancial and Electrical Engineering Xuzhou college of industrial and technology Xuzh School of Information and Engineering China University of Mining and Technology Xuzhou 221008, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 853-856

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）