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dc.contributor.authorAdewole, Adeyemi Charlesen_US
dc.contributor.authorTzoneva, Raynitchkaen_US
dc.identifier.citationAdewole, A.C. & Tzoneva, R. 2015. Synchrophasor-Based online coherency identification in voltage stability assessment. Advances in Electrical and Computer Engineering, 15(4): 33-42. []en_US
dc.description.abstractThis paper presents and investigates a new measurement-based approach in the identification of coherent groups in load buses and synchronous generators for voltage stability assessment application in large interconnected power systems. A hybrid Calinski-Harabasz criterion and k-means clustering algorithm is developed for the determination of the cluster groups in the system. The proposed method is successfully validated by using the New England 39-bus test system. Also, the performance of the voltage stability assessment algorithm using wide area synchrophasor measurements from the key synchronous generator in each respective cluster was tested online for the prediction of the system’s margin to voltage collapse using a testbed comprising of a Programmable Logic Controller (PLC) in a hardware-inthe-loop configuration with the Real-Time Digital Simulator (RTDS) and Phasor Measurement Units (PMUs).en_US
dc.publisherȘtefan cel Mare University of Suceavaen_US
dc.relation.ispartofAdvances in Electrical and Computer Engineeringen_US
dc.subjectClustering methoden_US
dc.subjectmachine learningen_US
dc.subjectphasor measurement uniten_US
dc.subjectpower system stabilityen_US
dc.subjectvoltage stabilityen_US
dc.titleSynchrophasor-Based online coherency identification in voltage stability assessmenten_US
Appears in Collections:Eng - Journal articles (DHET subsidised)
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