基于改进DNA遗传算法的微电网DG选址定容研究  

Location of Microgrid DG Based on Improved DNA Genetic Algorithm

作　　者：宋雷震[1] 高沂[1] Song Leizhen;Gao Yi(Department of mechanical and electrical engineering of HuaiNan Union University,Huainan 232038,Anhui,China)

机构地区：[1]淮南联合大学智能制造学院,安徽淮南232001

出　　处：《黑龙江工业学院学报（综合版）》2020年第10期81-87,共7页Journal of Heilongjiang University of Technology(Comprehensive Edition)

基　　金：安徽省2019年自然科学重点项目“基于改进DNA遗传算法的微电网DG选址定容”(项目编号:KJ2019A1005);安徽省2019年自然科学重点项目“基于车联网的新能源汽车数据采集系统的研究”(项目编号:KJ2019A1000)。

摘　　要：为降低能源的消耗,我国提出适度限制火电发展的计划,并出台一系列鼓励发展分布式电源的政策,分布式电源在配电网上的位置和容量将会影响配电网的运行,拟通过改进DNA遗传算法研究微电网DG选址定容。实验表明:改进的DNA遗传算法既能避免早熟,又能提高算法收敛速度;微电网DG接入,能降低有功损耗、无功损耗、网损费用,升高节点最低压、节点电压偏移总和;PV和MT二者分别单独进行选址定容的方案,具备应对PV离网的能力,更加合理。In order to reduce energy consumption,China puts forward a plan to limit the development of thermal power moderately,and has issued a series of policies to encourage the development of distributed power supply.The location and capacity of distributed power supply in distribution network will affect the operation of distribution network.Therefore,this experiment will study the location of microgrid DG by improving DNA genetic algorithm.The experiments show that the improved DNA genetic algorithm can not only avoid precocity,but also improve the convergence speed of the algorithm.The DG access of microgrid can reduce the active power loss,reactive power loss,network loss cost,increase the sum of node minimum voltage and node voltage offset.PV and MT have the ability to deal with PV off-grid.I hope this research can provide some help for the promotion and development of distributed power supply in China.

关 键 词：改进DNA遗传算法 选址定容 分布式电源 

分 类 号：TM715[电气工程—电力系统及自动化]