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基于改进粒子群算法的分布式电源选址定容优化设计 被引量:5

Optimization design for locating and sizing of distributed generation based on improved particle swarm algorithm
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摘要 在分析了分布式电源接入对配电网影响的基础上,针对配电网中的关键问题———分布式电源的选址和定容,进行了优化设计.通过构建包含分布式电源的投资运行费用、环境因素、网损费用的目标函数,并考虑潮流约束、电流约束、电压约束、系统容量约束等条件,搭建了分布式电源的模型,采用一种改进的粒子群算法,设计出了分布式电源所处位置及容量.通过仿真分析计算,验证了该方案的正确性和有效性. Based on the analysis of the impact of the access of the distributed generation on the power distribution network,the locating and sizing design of the distributed generation,a major issue of the power distribution network is optimized.By setting up the objective function containing the costs of investment and operation,environmental factors and the cost of network loss,and considering the constraints of tide current,current,voltage and system capacity,a model of distributed generation is established,and using an improved particle swarm algorithm,a system to locate and size the distributed generation is designed.Through the simulation analysis and calculation,the accuracy and validity of this design are verified.
出处 《大连理工大学学报》 EI CAS CSCD 北大核心 2014年第3期355-360,共6页 Journal of Dalian University of Technology
基金 "八六三"国家高技术研究发展计划资助项目(2013AA06A409)
关键词 改进粒子群算法 分布式电源 选址定容 优化设计 improved particle swarm algorithm distributed generation locating and sizing optimization design
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