Comparison Study of Two Meta-heuristic Algorithms with Their Applications to Distributed Generation Planning

摘要：

In this paper, a distributed micro-grid planning model has been presented to optimize the locating and the unit capacities within distributed generation (DG) micro-grid, in which wind power and photovoltaic power are taken into consideration simultaneously.Optimal power balance is achieved through minimizing the cost-effectiveness rate under given financial constraints.Both Elitism Genetic Algorithm (EGA) and Particle Swarm Optimization (PSO) are employed for comparison study with optimizing the given DG optimization model.The results have shown that EGA has outperformed PSO in the case study.

关键词： Distributed generation micro-grid planning genetic algorithm particle swarm optimization

作者: Ruifeng Shi Can Cui Kai Su Zaharn Zain

作者单位: School of Control and Computer Engineering,North China Electric Power University,Changping District,Beijing 102206,China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Smart Grid and Clean Energy Technologies(2011 IEEE智能电网与清洁能源技术国际会议 ICSGCE2011)

会议地点: 成都

会议语种:英文

页码: 150-154

在线出版日期: 2011-09-27（万方平台首次上网日期，不代表论文的发表时间）