Please use this identifier to cite or link to this item:
|Title:||New approach to alarm processing in power systems based on the set covering theory and a refined genetic algorithm||Authors:||Wen, F.
|Issue Date:||1-Jan-1996||Citation:||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/10635/80792||ISSN:||0731356X|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 29, 2020
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.