现代电力2024，Vol.41Issue(6)：1072-1081,10.DOI:10.19725/j.cnki.1007-2322.2022.0423
基于资源优选分级的配电网阻塞管理措施优化组合
Optimal Combination of Congestion Management Measures for Distribution Networks Based on Resource Optimization and Classification
摘要
Abstract
Due to the continuous growth of the power load and the higher penetration rate of distributed generation,the power flow overload of the distribution network will appear and cause congestion.An optimization combination method of distribu-tion network congestion management measures based on the optimization and classification of various congestion manage-ment resources was proposed to solve the problem of distribu-tion network congestion.Firstly,the resources that can allevi-ate congestion in the distribution network were defined as con-gestion management resources;and corresponding mathematic-al models were established for six types of congestion manage-ment resources on the source,network,load,and storage sides of the distribution network.Secondly,the index to measure the level of resource congestion management was defined,and the optimal classification of congestion management resources was carried out by a grey fixed-weight cluster.Thirdly,on the basis of considering the life cycle cost of dynamic capacity enhan-cing equipment,the optimal combination model of distribution network congestion management measures was established with the objective of minimizing the total cost of congestion management;and was solved by the harmonic search algorithm.Finally,through a specific distribution network example,it is verified that the proposed congestion management scheme can reduce the action amount of congestion management measures and has better economic efficiency.关键词
配电网/阻塞管理/全寿命周期成本/优选分级/灰色定权聚类/优化组合Key words
distribution network/congestion management/life cycle cost/optimization and classification/grey fixed-weight clustering/optimal combination分类
信息技术与安全科学引用本文复制引用
李振坤,黄清源,罗潇,王威,顾春锋..基于资源优选分级的配电网阻塞管理措施优化组合[J].现代电力,2024,41(6):1072-1081,10.基金项目
国家电网有限公司科技项目(52092121N002).Project Supported by Science and Technology Project of State Grid Corporation(52092121N002). （52092121N002）
