采用改进自适应遗传算法实现FTU优化配置
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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.
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.
引文
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[2]刘健,赵树仁,张小庆.中国配电自动化的进展及若干建议[J].电力系统自动化,2012,36(19):12.
[3]张建功,杨子强,王建彬,等.配电自动化实用模式探讨[J].电网技术,2003,27(1):80.
[4]杨德昌,李勇,Rehtanz C,等.中国式智能电网的构成和发展规划研究[J].电网技术,2009,33(20):13-20.
[5] LEVITIN G,MAZAL-TOV S,ELANKIS D. Optimal sectionalizer allocation in electric distribution systems by genetic algorithm[J]. Electric Power Systems Research,1994,31(2):97.
[6]谢开贵,刘柏私,赵渊,等.配电网开关优化配置的动态规划算法[J].中国电机工程学报,2005,25(11):29.
[7] BILLINTON R,JONNAVITHULA S. Optimal switching device placement in radial distribution systems[J]. IEEE transacttions on power delivery,1996,11(3):1646.
[8]谢开贵,周家启.基于免疫算法的配电网开关优化配置模型[J].电力系统自动化,2003,27(15):35.
[9] CONG D P,RAISION B,ROGNON J P,et al. Optimization of fault indicators placement with dispersed generation insertion[C]//Power Engineering Society General Meeting2005. IEEE,2005:355-362.
[10] CARVALHO P M,FERREIRA L,DASILVA A J. A decomposition approach to optimal remote-controlled switch allocation in distribution systems[J]. IEEE Transactions on Power Delivery,2005,20(2):1031.
[11]刘健,程红丽,张志华.配电自动化系统中配电终端配置数量规划[J].电力系统自动化,2013,37(12):44.
[12]刘健,林涛,赵江河,等.面向供电可靠性的配电自动化系统规划研究[J].电力系统保护与控制,2014,42(11):52.
[13]陈兴雷,配电网可靠性与经济性综合评估[D].杭州:浙江大学,2008.
[14]郝辉,李雪瑞,李亚雄.基于遗传算法的面目标瞄准点寻优问题研究[J].兵器装备工程学报,2016,37(1):128-131.
[15]张巍,杨西龙,王锐淇,等.基于遗传算法的虚拟应急物流联盟成员选择研究[J].兵器装备工程学报,2016,37(7):78-84.
[16]任子武,伞冶.自适应遗传算法的改进及在系统辨识中应用研究[J].系统仿真学报,2006,18(1):41.
[17] BILLINTON R,JONNAVITHULA S. A test system for teaching overall power system reliability assessment[J].IEEE transactions on Power Systems,1996,11(4):1670.
[18] ALLAN R N,BILLINTON R,SJARIEF I,et al. A reliability test system for educational purposes-basic distribution system data and results[J]. IEEE Transactions on Power systems,1991,6(2):813.
[19]王天华,王平洋.馈线自动化规划中环网开关配置的优化算法[J].电力系统自动化,1999,23(15):15.