摘要
电力系统故障诊断中存在两种不确定性因素，即保护和断路器动作的可靠性，以及调度中心中收到的保护和断路器的警报信号的正确性和未收到的警报信号实际出现的可能性。如何处理这些不确定性在一定程度上影响故障诊断结果的准确性。到目前为止，还没有一个系统的方法能够同时处理上述两种不确定性因素。文章提出了基于模糊外展推理（ｆｕｚｚｙａｂｄｕｃｔｉｖｅｉｎｆｅｒｅｎｃｅ）的电力系统故障诊断的一种新的模型，可以同时计及这两种不确定性因素。首先将故障诊断问题描述为无约束０－１整数规划问题，之后采用了近年来提出的一种高效的启发式优化技术——Ｔａｂｕ搜索（ＴａｂｕＳｅａｒｃｈ－ＴＳ）方法来求解。算例系统的研究结果证实了所提出的方法是正确的和有效的，且具有在线应用的潜力。
There are two kinds of uncertainties involved in the fault diagnosis problem in power systems, i.e., the operating reliabilities of protective relays and circuit breakers, and the correctness of the received and nonreceived alarm signals. The accuracy of the fault section estimation is affected to some extent by the method used to deal with the uncertainties encountered in the fault section estimation problem. Up to now, a formal and systematic approach to simultaneously account for these two kinds of uncertainties is not available. This paper presents a fuzzy abductive inference model and a Tabu search (TS) based approach to the fault diagnosis problem in power systems, which can simultaneously take into account of the above mentioned two kinds of uncertainties. At first, the fault diagnosis problem is formulated as a 0 1 integer programming problem, and then the TS approach is presented for solving this problem. Test results for a sample power system have shown that the developed fault diagnosis model and method are correct and efficient, and are of promise for on line application in actual power systems.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
1999年第3期56-60,共5页
Journal of Tsinghua University(Science and Technology)
基金
国家攀登计划
关键词
电力系统
故障诊断
模糊外展推理
TABU搜索
power systems
fault diagnosis
fuzzy abductive inference
Tabu search
set covering theory
