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dc.titleAlarm processing in power systems using a genetic algorithm
dc.contributor.authorWen, Fushuan
dc.contributor.authorChang, C.S.
dc.contributor.authorSrinivasan, D.
dc.identifier.citationWen, Fushuan,Chang, C.S.,Srinivasan, D. (1995). Alarm processing in power systems using a genetic algorithm. Proceedings of the IEEE Conference on Evolutionary Computation 1 : 27-32. ScholarBank@NUS Repository.
dc.description.abstractIn this paper, a Genetic Algorithm (GA) based method is proposed for alarming processing in power systems for the first time. Firstly, the existing two evaluation criteria describing the alarm processing problem are briefly discussed, and a new criterion is proposed. Secondly, a novel method is developed to solve this problem using a GA based method. Finally, a sample example is used to demonstrate the feasibility and efficiency of the developed method. The key features of this proposed method are that it has solid mathematical foundation and can find multiple global optimal solutions directly and efficiently in a single run. This is very suitable for complex alarm processing problems especially for the situations with missing or false alarms, because different combinations of events can produce the same set of alarms under these circumstances. The test results, although preliminary, suggest that the developed GA-based method is promising.
dc.typeConference Paper
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleProceedings of the IEEE Conference on Evolutionary Computation
Appears in Collections:Staff Publications

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