电力系统自动化2025，Vol.49Issue(6)：96-105,10.DOI:10.7500/AEPS20240430001
信息物理耦合环境中面向韧性全过程提升的配电网无功规划
Reactive Power Planning of Distribution Network for Whole-process Resilience Enhancement in Cyber-Physical Coupling Environment
摘要
Abstract
With the increase of coupling degree between the communication network and the power system,the fault modes of the distribution network caused by extreme natural disasters are gradually shifting towards cyber-physical composite faults,which brings great risks to the overall operation safety.In addition,few studies consider reducing the load loss cost of the system during the load restoration process by jointly planning capacitor bank(CB)and smart soft open point(SOP)in the distribution network.To address the above-mentioned deficiencies,a reactive power planning method of the distribution network for whole-process resilience enhancement in cyber-physical coupling environment is proposed.Before the disaster,CB and SOP are configured to reduce the scale of direct and indirect faults of the system.During and after the disaster,the controlled states of equipment are analyzed based on the communication reliability theory,and the power equipment is regulated by combining the adjustment of the system communication performance,thereby reducing the load loss cost of the system throughout the resilience process.Considering the differences in the response capabilities of equipment such as CB and SOP,the proposed strategy is modeled as a hierarchical defender-attacker-defender(DAD)model based on the"defense-attack-multi-correction"concept.The results of case simulations show that the proposed planning strategy can enhance the ability of disaster prevention of the system at the reactive power compensation level while taking into account the cyber-physical coupling characteristics.关键词
配电网/信息物理系统/韧性提升/无功规划/鲁棒优化Key words
distribution network/cyber physical system/resilience enhancement/reactive power planning/robust optimization引用本文复制引用
景祥,秦文萍,逯瑞鹏,王杰,刘佳昕,韩肖清..信息物理耦合环境中面向韧性全过程提升的配电网无功规划[J].电力系统自动化,2025,49(6):96-105,10.基金项目
国家自然科学基金联合基金重点支持项目(U1910216). This work is supported by Joint Funds of National Natural Science Foundation of China(No.U1910216). （U1910216）
