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An intelligent security alert system for power system pre-emergency control

... abnormal and emergency conditions. This paper is focused on applying learning clustering algorithms for identifying critical states in power systems. The authors propose an intelligent security alert system for early detection of alarm states using the clustering ensemble concept. The security assessment clustering ensemble is realized in STATISTICA 6.0 and GA Fuzzy Clustering. Matlab and Power System Analysis Toolbox are used as the modeling tools. We demonstrated the approach on the modified IEEE ...

Теги: alert systems , blackout , clustering ensemble , power system , pre-emergency state , security assessment , electric power system interconnection , electrical engineering , clustering algorithms
Раздел: ИСЭМ СО РАН


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