摘要
针对分布式电源接入配电网的选址定容问题,在考虑到网损、静态电压稳定和线路热稳定3个指标的基础上,采用层次分析法建立了分布式电源在配电网中选址定容的多目标优化模型。引入模拟退火算法中的蒙特卡洛法则对一种新的智能优化算法-天牛须搜索算法(Beetle Antennae Search,BAS)进行改进,提高算法的稳定性,并应用于分布式电源选址定容问题求解。算例仿真实验验证了改进天牛须搜索算法(Improved Antennae Search,IBAS)在分布式电源选址定容问题求解中的高效性和稳定性。
In order to study the location and sizing of distributed generation on the distribution network, on basis of comprehensively considering three indices of network loss, the static voltage stability and line thermal stability, this paper establishes a multi-objective linear programming model based on analytic hierarchy process (AHP). A new intelligent optimization algorithm of beetle antennae search-BAS is improved by introducing Monte Carlo law from simulated annealing algorithm to solve the problem of location and sizing of distributed generation. The feasibility and effectiveness of the improved antennae search-IBAS in the solution of location and sizing problems of the distributed generation are verified by the simulation.
作者
卢光辉
滕欢
廖寒逊
吴泽穹
Lu Guanghui;Teng Huan;Liao Hanxun;Wu Zeqiong(Intelligent Electric Power Grid Key Laboratory of Sichuan Province,Sichuan University,Chengdu 610065,China;Information and Communication Branch of State Grid Sichuan Electric Power Company,Chengdu 610041,China)
出处
《电测与仪表》
北大核心
2019年第17期6-12,共7页
Electrical Measurement & Instrumentation
关键词
分布式电源
配电网
选址定容
改进天牛须搜索算法
distributed generations
distribution network
location and sizing
improved antennae search algorithm
