电力系统保护与控制2025，Vol.53Issue(2)：112-124,13.DOI:10.19783/j.cnki.pspc.240207
基于特征匹配和灵敏度辅助决策的配电网优化调控技术
Optimization and control technology of a distribution network based on feature matching and sensitivity-assisted decision making
摘要
Abstract
Distributed power supply,electric vehicles and energy storage are connected to the distribution network at a high proportion.This improves the intelligence and controllability of the distribution network,and also brings forward more complex economic and security requirements for the optimization and regulation of the network.There is a problem of online optimal control of the distribution network without real-time measurement,so an optimal control scheme for the network based on feature matching and sensitivity-assisted decision making is proposed.First,a distribution network historical feature database and strategy database considering different operational characteristics are constructed to improve the accuracy and speed of feature matching.Network loss and voltage fluctuation are effectively reduced through source-network-load-storage coordination optimization.Secondly,the generation method of the network matching strategy based on feature matching is proposed.This removes the limitations of the power flow model and greatly improves the efficiency of real-time optimization.Finally,in order to correct the strategic error caused by the feature matching deviation,an auxiliary decision-making method for online optimization control of the network is proposed.A command weight coefficient based on the system matching deviation rate is designed to improve the accuracy of online control instructions.The accuracy and feasibility of the proposed scheme are verified by simulation examples.关键词
配电网/源网荷储/数据驱动/特征匹配/辅助决策Key words
distribution network/source-network-load-storage/data-driven/feature matching/auxiliary decision引用本文复制引用
严晗,徐晓春,张毅,袁洲茂,汤同峰,周鑫,戴晖,窦晓波..基于特征匹配和灵敏度辅助决策的配电网优化调控技术[J].电力系统保护与控制,2025,53(2):112-124,13.基金项目
This work is supported by the Science and Technology Project of State Grid Corporation of China(No.J2022054). 国家电网有限公司科技项目资助(J2022054) （No.J2022054）
国家自然科学基金项目资助(52077036) （52077036）
