Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/62465
Title: New approach to alarm processing in power systems based on the set covering theory and a refined genetic algorithm
Authors: Wen, F. 
Chang, C.S. 
Fu, W.
Issue Date: 1-Jan-1996
Source: Wen, F.,Chang, C.S.,Fu, W. (1996-01-01). New approach to alarm processing in power systems based on the set covering theory and a refined genetic algorithm. Electric Machines and Power Systems 26 (1) : 53-67. ScholarBank@NUS Repository.
Abstract: In this paper, a new approach to alarm processing in power systems is proposed based on the set covering theory and a refined genetic algorithm (RGA). Although alarm processing and fault diagnosis have different explanations in power system community, from the viewpoint of artificial intelligence community, the alarm processing problem is a typical Multiple Fault Diagnosis (MFD) problem. Thus, we first attribute the alarm processing problem to a MFD problem, and discuss the MFD problem in general with special emphasis on the evaluation criteria. And then, a probabilistic criterion is introduced to describe the alarm processing problem, and this criterion is more reasonable than the currently used criteria. Thirdly, a new method is presented to solve the alarm processing problem using a RAG. Finally, two sample examples are used to demonstrate the feasibility and efficiency of the developed method. Test results suggest that the developed RAG-based probabilistic method to the alarm processing problem is promising.
Source Title: Electric Machines and Power Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/62465
ISSN: 0731356X
Appears in Collections:Staff Publications

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