中国电机工程学报2016，Vol.36Issue(18)：4864-4872,9.DOI:10.13334/j.0258-8013.pcsee.160804
基于Levenberg-Marquardt算法的大规模系统无功补偿决策方法
Levenberg-Marguardt Algorithm Based VAR Compensation Method for Large-scale Power Systems
摘要
Abstract
ABSTRACT:A novel approach was proposed to determine the location and capacity of reactive power compensation for large-scale power systems. This approach considered not only the overall load capacity of the system but also the ability of vulnerable nodes to resist load disturbance. This paper firstly designed the vulnerability indicator for vulnerable nodes recognition in the system, and then the voltage stability optimization model was established. Finally self-adaptive Levenberg-Marquardt (LM) algorithm was improved to solve the optimization model. Comparing to the traditional optimal power flow (OPF) algorithms, this work demonstrates high optimization ability and calculation performance. The robustness and practicability of the method were tested in standard and real systems.关键词
电压稳定性/薄弱环节/稳定裕度/无功补偿/Levenberg-Marquardt算法Key words
voltage stability/vulnerable nodes/stability margin/reactive power compensation/Levenberg-Marquardt algorithm分类
信息技术与安全科学引用本文复制引用
燕思旻,沈沉,王雅婷..基于Levenberg-Marquardt算法的大规模系统无功补偿决策方法[J].中国电机工程学报,2016,36(18):4864-4872,9.基金项目
国家电网公司科技项目(XT17-15-026)。Key Technology Project of State Grid Corporation of China (XT17-15-026) （XT17-15-026）
