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

• Main Authors: Jamian, Jasrul Jamani, Aman, Muhammad Mohsin, Baharuddin, Muhammad Ariff, Mokhtar, Ahmad Safawi, Abdullah, Mohd. Noor
• Format: Article
• Language: English
• Published: Turkiye Klinikleri Journal of Medical Sciences 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/77533/1/JasrulJamaniJamian2017_MinimizingReverseCurrentFlowDuetoDistributed.pdf; http://eprints.utm.my/id/eprint/77533/; http://dx.doi.org/10.3906/elk-1603-174

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.