电力系统自动化2025，Vol.49Issue(14)：99-108,10.DOI:10.7500/AEPS20240717002
基于改进法向约束法的台风灾害下配电网多维韧性提升策略
Multi-dimensional Resilience Enhancement Strategy for Distribution Network During Typhoon Based on Improved Normal Constraints Method
摘要
Abstract
To address the decline in power supply capability of distribution networks during typhoons,it is necessary to fully utilize distributed resources in distribution networks and enhance the resilience of distribution networks during disasters from multiple aspects such as comprehensive power supply reliability,disaster resistance resource utilization rate,and power quality.Based on the typhoon asymmetric wind field disaster model,a dual-layer architecture of distribution networks is proposed based on the improved normal constraint method to support multi-dimensional resilience enhancement strategies collaboratively.First,the typhoon asymmetric wind field is parameterized and modeled in combination with meteorological information,and the uncertainty model of breakage on the affected lines and the safe output model of renewable energy are established.Then,a dual-layer operation architecture of source-grid-load-storage collaborative support for disaster response scheduling in distribution networks is established,and multi-dimensional resilience evaluation indicators considering power supply capability,resource utilization rate,and power quality are proposed.On this basis,the improved normal constraint method is used to quickly solve the boundary time-varying mixed-integer second-order cone programming multi-objective optimization problem,and the decision edge with high information entropy is obtained.Finally,the IEEE 33-bus distribution system is used for case study to examine the application ability of the proposed strategy.关键词
配电网/供电能力/供电可靠性/韧性/多目标优化/台风/法向约束/不确定性Key words
distribution network/power supply capability/power supply reliability/resilience/multi-objective optimization/typhoon/normal constraint/uncertainty引用本文复制引用
柯君,王旭,魏新迟,蒋传文,杨宏坤,张锞..基于改进法向约束法的台风灾害下配电网多维韧性提升策略[J].电力系统自动化,2025,49(14):99-108,10.基金项目
国家重点研发计划资助项目(2023YFE0119800) （2023YFE0119800）
国家自然科学基金资助项目(52277110) （52277110）
内蒙古自治区"揭榜挂帅"项目(2022JBGS0043). This work is supported by National Key R&D Program of China(No.2023YFE0119800),National Natural Science Foundation of China(No.52277110),and Inner Mongolia Science and Technology Plan(No.2022JBGS0043). （2022JBGS0043）
