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基于改进蚁群算法的专用输电工程电气设备优化选型 被引量:7

The Optimum Selection of Electrical Equipment Types for Specialized Transmission Project Based on Improved Ant Colony Optimization Algorithm
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摘要 针对专用输电工程的建设现状,采用优化方法选择输电工程的主要电气设备如高压断路器、输电线路、变压器等,建立考虑一次性投资、年运行维护费用和停电损失费用的优化模型,并利用优化模型从众多符合技术参数要求的电气设备中选择成本效益最大化的投资方案,该方案兼顾经济性与可靠性,使得年综合运行费用最低.然后采用蚁群算法求解,针对该算法寻优较慢的缺点,利用改进的邻域蚂蚁"标兵"学习算法进行寻优,最后通过对居民专用输电工程算例的计算与分析,表明该模型和算法的有效性. This paper discusses the construct situations of specialized transmission project. The main equipment was selected by optimum ways, such as high voltage breakers, lines and transformers. The optimized mode takes one-off investing cost, annual operation and maintenance cost and outage cost into account. The cost-ef- fectiveness maximization investing case was determined by the optimized mode from many feasible equipments. This case is economic and reliable. At the same time, it has the lowest synthetically cost for every year. This paper uses improved ant colony optimization algorithm to solve optimum selection of equipments because of a slower convergence speed of the normal algorithm. Neighboring ants learn from "example ant" in order to search superior routes. The calculation and analysis for resident transmission project proves the effectiveness of mode and algorithm is proved.
出处 《郑州大学学报(工学版)》 CAS 北大核心 2016年第4期15-19,共5页 Journal of Zhengzhou University(Engineering Science)
基金 福建省自然科学基金资助项目(2013J01176)
关键词 专用输电工程 电气设备选型 改进蚁群算法 specialized transmission project optimum selection of equipment improved ant colony optimiza- tion algorithm ( IACO )
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