Measurement-Based Network Clustering for Active Distribution Systems

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...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2019-11, Vol.10 (6), p.6714-6723
Main Authors: Monadi, Mehdi, Hooshyar, Hossein, Vanfretti, Luigi, Mahmood, Farhan, Candela, Jose Ignacio, Rodriguez, Pedro
Format: Article
Language:English
Subjects:
Active distribution system
Algorithms
cluster
Clustering
Computació distribuïda
Computational grids (Computer systems)
Computer networks
Computer simulation
Design and construction
Disseny i construcció
Distributed generation
Electric power grids
Enginyeria de la telecomunicació
Equivalent circuits
Load shedding
Measuring instruments
Microgrids
Network clustering
Network topology
Ordinadors, Xarxes d
Phasor measurement unit
Phasor measurement units
Power loss
Real time
Real-time systems
Reliability
Topology
Voltage control
Àrees temàtiques de la UPC
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Summary: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.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2019.2910510