摘要
提出了基于改进自适应遗传算法的配电自动化规划中架空线路FTU优化配置方法,在满足重要用户要求和系统供电可靠性约束条件下,安装终端总投资最少。对网架以开关和FTU类型分别进行各类区域划分;采用故障后果分析法,确定某区域故障情况下各区域停电时间、枚举区域故障、对区域年停电时间及系统可靠性进行计算;使用改进自适应遗传算法对问题进行求解;仿真结果表明,该算法具有较好的全局收敛性,与传统遗传算法和自适应遗传算法相比,总投资平均值分别降低约10%和3%。
An optimization model of overhead line FTU in distribution automation planning was presented under the constraint conditions of key users’requirement and system power supply reliability.It can minimize the total installed terminal investment.At the same time,the grid was divided into various regions according to the switch and FTU type,using failure mode and effect analysis method to determine the outage time of each area when an area occurs a fault,enumerating area fault and calculating regional annual outage time and system reliability.By using the improved adaptive genetic algorithm to solve the problem,the results show that the algorithm has good global convergence.
作者
崔家瑞
周静怡
张波
李擎
崔家山
CUI Jiarui;ZHOU Jingyi;ZHANG Bo;LI Qing;CUI Jiashan(University of Science and Technology Beijing,Beijing 100083,China;China Electric Power Research Institute,Beijing 100192,China)
出处
《兵器装备工程学报》
CAS
北大核心
2019年第1期220-225,共6页
Journal of Ordnance Equipment Engineering
基金
国家高技术研究发展计划项目(2013AA040705)
国家自然科学基金项目(61603034)
北京市自然科学基金项目(3182027)
中央高校基本科研业务费-国防专项(FRF-GF-17-B44)
关键词
配电自动化
优化配置
自适应
遗传算法
可靠性
distribution automation
optimization
adaptive genetic algorithm
genetic algorithm
reliability
