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基于协同进化NSGA-II的多目标交直流配电网规划方法*
引用本文:高崇,王天霖,张俊潇,李卓环,张黎明,余涛.基于协同进化NSGA-II的多目标交直流配电网规划方法*[J].电测与仪表,2023,60(8):133-137.
作者姓名:高崇  王天霖  张俊潇  李卓环  张黎明  余涛
作者单位:广东电网有限责任公司电网规划研究中心,广东电网有限责任公司电网规划研究中心,广东电网有限责任公司电网规划研究中心,华南理工大学电力学院,广东电网有限责任公司电网规划研究中心,华南理工大学电力学院
基金项目:国家自然科学基金项目( 51777078);中国南方电网公司科技项目(GDKJXM20173253)
摘    要:针对目前进入深度试验的交直流混合配电网,本文提出了一种交直流配电网网架规划模型,实现经济目标和运行可靠性目标的两目标优化规划。针对该优化模型,本文采用带精英策略结合协同进化思想的NSGA-II算法进行优化求解。最后,本文进行了交直流混合规划算例分析,结果论证了本文方法的可行性和有效性。

关 键 词:交直流配电网  网架规划  协同进化  非支配排序遗传算法
收稿时间:2020/5/13 0:00:00
修稿时间:2020/6/23 0:00:00

Multi-objective AC / DC distribution network planning method based on Co-evolution NSGA-II
GAO Chong,WANG Tianlin,Zhang Junxiao,LI Zhuohuan,Zhang Liming and YU Tao.Multi-objective AC / DC distribution network planning method based on Co-evolution NSGA-II[J].Electrical Measurement & Instrumentation,2023,60(8):133-137.
Authors:GAO Chong  WANG Tianlin  Zhang Junxiao  LI Zhuohuan  Zhang Liming and YU Tao
Affiliation:Grid Planning Research Center,Guangdong Power Grid Co,Ltd,CSG,Guangzhou Guangdong,Grid Planning Research Center,Guangdong Power Grid Co,Ltd,CSG,Guangzhou Guangdong,Grid Planning Research Center,Guangdong Power Grid Co,Ltd,CSG,Guangzhou Guangdong,Electric Power College of South China University of Technology,Grid Planning Research Center,Guangdong Power Grid Co,Ltd,CSG,Guangzhou Guangdong,Electric Power College of South China University of Technology
Abstract:Aiming at the AC-DC hybrid power distribution network that has entered the in-depth test at present, this paper proposes an AC-DC power distribution network grid planning model to achieve the two-objective optimization planning of economic goals and operational reliability goals. Aiming at this optimization model, this paper uses the NSGA-II algorithm with elite strategy combined with the idea of co-evolution to optimize the solution. In the end, a case study was performed in a headquarters business district in Guangzhou, and the results demonstrated the feasibility and effectiveness of the method.
Keywords:AC-DC hybrid power distribution network  Grid planning  Coevolution  NSGA-II
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