Supervised Fuzzy C-Means Clustering Technique for Security Assessment and Classification in Power Systems

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Provided by: Indian Institute of Technology Madras
Topic: Security
Format: PDF
Security assessment is an important concern in planning and operation studies of an electric power system. Conventional method of security evaluation is performed by simulation consisting of load flow program and transient stability analysis, consuming long computer time and generating voluminous results. This paper presents a practical Pattern Recognition (PR) approach for security assessment in power systems. The problem of security assessment is focused in two modes, viz., static and transient. Static security pertains to the study of violation of system components when subjected to contingencies like line/generator outages.
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