摘要
以现有的电力系统故障诊断解析模型为基础,引入机会约束规划来处理故障诊断过程中可能出现的保护/断路器拒动或误动、警报漏报或误报等不确定情况,提出了电力系统故障诊断的机会约束规划模型与方法,并采用基于蒙特卡洛仿真的遗传算法进行求解。该模型充分考虑了诊断过程中不确定性因素出现的可能性,能够适当处理保护/断路器拒动或误动、警报漏报或误报等情况,具有较强的容错能力。最后,用实际电力系统发生过的故障案例对所发展的解析模型和方法进行了仿真测试,得到了与实际故障情况一致的结果,且计算速度满足在线应用的要求。
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.
出处
《电力系统自动化》
EI
CSCD
北大核心
2011年第20期47-52,93,共7页
Automation of Electric Power Systems
基金
国家科技支撑计划资助项目(2008BAA13B10)
浙江省电力公司科技项目~~
关键词
电力系统
故障诊断
机会约束规划
解析模型
power systems
fault diagnosis
chance-constrained programming
analytic model
