A framework for optimal clustering of a greenfield distribution network area into multiple autonomous microgrids

Shahram Mojtahedzadeh, Sajad Najafi-Ravadanegh, Mahmoud-Reza Haghifam

Abstract


Microgrids (MGs) are recognized as cores and clusters of smart distribution networks. The optimal planning and clustering
of smart low-voltage distribution networks into autonomous MGs within a greenfield area is modeled and discussed in this
paper. In order to form and determine the electrical boundary of MGs set, some predefined criteria such as power mismatch,
supply security and load density are defined. The network includes an external grid as backup and both dispatchable and
non-dispatchable Distributed Energy Resources (DERs) as MGs resources. The proposed strategy offers optimum sizing and
siting of DERs and MV substations for the autonomous operation of multiple MGs simultaneously. The imperialist competitive
algorithm (ICA) is used to optimize the cost function to determine the optimal linked MG clustering boundary. To evaluate the
algorithm the proposed method is applied to a greenfield area which is planned to become a mixed residential and commercial
town. The MGs’ optimal border, DERs location, size and type within each MG and LV feeders route are illustrated in both
graphical and tabular form.

Keywords


Distribution Network Clustering, Autonomous Microgrid, Distributed Energy Resources (DERs) Supply-Security, Imperialist Competitive Algorithm (ICA)

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