Title Measurement-based network clustering for active distribution systems
Authors Monadi M., Hooshyar H., Vanfretti L., Mahmood F., Candela J.I., RODRÍGUEZ CORTÉS, PEDRO, RODRÍGUEZ CORTÉS, PEDRO
External publication No
Means IEEE Trans. Smart Grid
Scope Article
Nature Científica
JCR Quartile 1
SJR Quartile 1
JCR Impact 8.26700
Area International
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074215916&doi=10.1109%2fTSG.2019.2910510&partnerID=40&md5=c55e82680d92e88dcb0e303617e2ef2b
Publication date 01/01/2019
ISI 000507947800075
Scopus Id 2-s2.0-85074215916
DOI 10.1109/TSG.2019.2910510
Abstract This paper presents a network clustering (NC) method for active distribution networks (ADNs). Following the outage of a section of an ADN, the method identifies and forms an optimum cluster of microgrids within the section. The optimum cluster is determined from a set of candidate microgrid clusters by estimating the following metrics: total power loss, voltage deviations, and minimum load shedding. To compute these metrics, equivalent circuits of the clusters are estimated using measured data provided by phasor measurement units (PMUs). Hence, the proposed NC method determines the optimum microgrid cluster without requiring information about the network's topology and its components. The proposed method is tested by simulating a study network in a real-time simulator coupled to physical PMUs and a prototype algorithm implementation, also executing in real time. © 2010-2012 IEEE.
Keywords Equivalent circuits; Phase measurement; Active distribution networks; Active distribution systems; Measurement-based; Network Clustering; Phasor measurement unit (PMUs); Prototype algorithms; Real tim
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