电力系统自动化2011，Vol.35Issue(20)：47-52,93,7.
电力系统故障诊断的机会约束规划模型与方法
A Chance-constrained Programming Based Model and Method for Power System Fault Diagnosis
摘要
Abstract
On the basis of the existing analytic models,the chance-constrained programming is introduced to deal with uncertainties,e.g.the malfunctions of protective relays（PRs） and circuit breakers（CBs） as well as false/missing alarms.Thus,a new fault diagnosis analytic model is first developed in the chance-constrained programming framework,and could well accommodate malfunctions of PRs and CBs as well as false/missing alarms.Then,the well-established genetic algorithm combined with Monte Carlo simulations are employed to solve the developed optimization model.An actual fault scenario is served for demonstrating the feasibility and efficiency of the developed model and method,and consistent fault diagnosis results have been obtained as those actually happened.In addition,the computation speed of the developed method meets the on-line fault diagnosis requirement.关键词
电力系统/故障诊断/机会约束规划/解析模型Key words
power systems/fault diagnosis/chance-constrained programming/analytic model分类
信息技术与安全科学引用本文复制引用
董明,韦刘红,文福拴,戴彦,孙维真,王超..电力系统故障诊断的机会约束规划模型与方法[J].电力系统自动化,2011,35(20):47-52,93,7.基金项目
国家科技支撑计划资助项目 （）
浙江省电力公司科技项目~~ （）
