摘要
传统变电站选址算法通常搜索时间长,且搜索质量不高。布谷鸟算法(CS)可有效克服传统算法中的"早熟"现象,有更高的全局寻优能力和搜索率。将该算法引入变电站选址模型,在模型中加入地理信息惩罚因子,应用布谷鸟搜索算法进行求解,用实际算例进行有惩罚因子和无惩罚因子模型的对比,证明加入地理信息因素可使变电站选址结果更加切合实际。
Conventional algorithms for substation location usually take a long time for searching with unsatisfactory search results. Cuckoo algorithm（CS） can effectively overcome the＂premature＂phenomenon of the traditional method and has higher global optimization and search rates. In this paper,the algorithm is introduced to the locating model for substations with the penalty factor added to the geographic information in the model. The Cuckoo search algorithm model is applied to solve solutions and comparison is made between the models with and without penalty factors with practical examples. The result suggests that addition of geographic information factors can make the substation location result more practical.
出处
《电网与清洁能源》
北大核心
2016年第11期51-54,61,共5页
Power System and Clean Energy
基金
基金项目:汉中供电局配电网管理与建设提升技术开发~~
关键词
配电网规划
变电站选址
布谷鸟搜索算法
distribution network
planning substation locating
Cuckoo search algorithm
