Minimizing reverse current flow due to distributed generation via optimal network reconfiguration

Authors: JASRUL JAMANI JAMIAN, MUHAMMAD MOHSIN AMAN, MUHAMMAD ARIFF BAHARUDDIN, AHMAD SAFAWI MOKHTAR, MOHD NOOR ABDULLAH

Abstract: Distributed generation (DG) is widely used to minimize total power losses in distribution networks. However, one of the problems of DG in a grid system is reverse current flow (RCF), which is when the DG output becomes greater than the connected load. Therefore, this paper proposes a multiobjective artificial bee colony (MOABC) algorithm to determine the optimal network reconfiguration for reducing total RCF in DG. The proposed algorithm is tested on 33-bus radial distribution systems in two different scenarios, i.e. base case and with 50% load. The proposed technique can reduce reverse current by up to 93%; however, the total power loss in the system will increase by 7%. Therefore, a suitable weight value is needed in MOABC for balancing the effect of RCF and the power loss value.

Keywords: Distributed generation, reverse current flow, artificial bee colony, multiobjective optimization

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