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考虑改进凸内近似与可行解恢复协同的配电网优化调度方法

黄永红 黄涛 王克威 徐俊俊 张宇翔

电力系统自动化2026,Vol.50Issue(7):166-179,14.
电力系统自动化2026,Vol.50Issue(7):166-179,14.DOI:10.7500/AEPS20250616005

考虑改进凸内近似与可行解恢复协同的配电网优化调度方法

Optimal Dispatch Method for Distribution Network Considering Synergy Between Improved Convex Inner Approximation and Feasible Solution Recovery

黄永红 1黄涛 1王克威 1徐俊俊 2张宇翔1

作者信息

  • 1. 江苏大学电气信息工程学院,江苏省 镇江市 212013
  • 2. 南京邮电大学自动化学院,江苏省 南京市 210023
  • 折叠

摘要

Abstract

Under the strategy of carbon emission peak and carbon neutrality,the high penetration of renewable energy imposes higher requirements on the secure and stable operation of power systems.How to enhance economic performance under a secure operational framework has become a significant issue.To address this,this paper proposes an optimal dispatch method integrating improved convex inner approximation with feasible solution recovery.First,a dynamic boundary mechanism is proposed to refine the convex inner approximation method and construct an optimization model.This approach strictly ensures security while significantly expanding the feasible region,thereby establishing a safety foundation for better economic performance.Second,by incorporating a feasible solution recovery mechanism,the initial feasible solution undergoes gradient-guided,refined and coordinated adjustment of active and reactive power based on sensitivity information.After being fully validated by AC power flow analysis,a more secure and economically favorable dispatch plan is ultimately obtained.Finally,the simulation conducted on IEEE 33-bus,PG&E 69-bus,and IEEE 118-bus distribution systems using the YALMIP-CPLEX platform demonstrates that the proposed method achieves efficient dispatch while rigorously ensuring security.

关键词

主动配电网/潮流/凸内近似/可行解/可行域/优化调度

Key words

active distribution network/power flow/convex inner approximation/feasible solution/feasible region/optimal dispatch

引用本文复制引用

黄永红,黄涛,王克威,徐俊俊,张宇翔..考虑改进凸内近似与可行解恢复协同的配电网优化调度方法[J].电力系统自动化,2026,50(7):166-179,14.

基金项目

国家自然科学基金资助项目(52107101). This work is supported by National Natural Science Foundation of China(No.52107101). (52107101)

电力系统自动化

1000-1026

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