摘要
分布式电源(distributed generation,DG)对智能电网的稳定安全运行至关重要,为了合理地对分布式电源进行选址定容,针对现有算法对初值要求高,收敛慢,容易陷入局部极值等缺点,提出了人工鱼群算法(artificial fish swarm algorithm,AFSA)。首先,确定了DG规划的多目标函数与约束条件;其次,介绍了人工鱼群算法,针对DG规划对AFSA进行的调整;最后,在IEEE-33节点系统中进行仿真验证,并与遗传算法(genetic algorithm,GA)进行对比。结果表明:利用AFSA对DG选址定容进行寻优,可有效地降低电压偏差,降低网损,提高系统稳定性和安全性。AFSA寻优效果较好,效果显著。
Distributed generation(DG)is very important for the stable and safe operation of the smart grid.To reasonably determine the location and size of DG,an artificial fish swarm algorithm(AFSA)is proposed in this paper to overcome the shortcomings of existing algorithms,such as high initial value requirement,slow convergence and easiness to fall into local extremum.Firstly,the multi-objective function and constraints of the DG planning are determined;secondly,the artificial fish swarm algorithm is introduced,and the AFSA is adjusted according to the DC planning.Finally,the simulation is carried out in the IEEE-33 node system and compared with the genetic algorithm(GA).The results show that using AFSA to optimize DG location and capacity can effectively reduce voltage deviation,reduce network loss and improve system stability and security.And the AFSA has a good optimization effect with a remarkable effect.
作者
唐雪晨
王文锦
卢国波
李振新
黄南天
TANG Xuechen;WANG Wenjin;LU Guobo;LI Zhenxin;HUANG Nantian(College of Electrical Engineering,Northeast Electric Power University,Jilin 132012,Jilin,China;Heze Power Supply Company,State Grid Shandong Electric Power Co.,Ltd.,Heze 274000,Shandong,China;Jilin Power Supply Company,State Grid Jilin Electric Power Co.,Ltd.,Jilin 132012,Jilin,China)
出处
《电网与清洁能源》
2019年第1期84-90,共7页
Power System and Clean Energy
基金
国家自然科学基金资助项目(51307020)
2016年度吉林省重点科技攻关项目(20160204004GX)
2016年吉林省科技发展计划项目(20160411003XH)
吉林省教育厅“十三五”重点科技项目(吉教科合字[2016]第90号)~~
关键词
配电网
DG
人工鱼群算法
多目标
distribution networks
DG
artificial fish swarm algorithm
multi-objective
