Optimal Network Reconfiguration of the Distribution Network for Minimization of Power Loss and Voltage Deviation using NSGA-II Algorithm

Optimal Network Reconfiguration of the Distribution Network for Minimization of Power Loss and Voltage Deviation using NSGA-II Algorithm

Lejla Bandić

Naida Nalo

Jasmin Kevrić

Abstract - For efficient power flow in the distribution system, one of the most important components is the accurate loss and voltage deviation minimization. This work gives an insight into the minimization process of the loss and voltage deviation in the power distribution system by using the network reconfiguration. Non-dominated sorting genetic algorithm – II (NSGA-II) has been used as the tool for solving the problem. The power flow is incorporated with the Genetic Algorithm until the best results are obtained. For power flow calculation, Power System Analysis Toolbox (PSAT) is used, while the whole algorithm was written in MATLAB. The proposed algorithm is tested on a real 10 kV distribution network, Gracanica. Results obtained show that the presented methodology can be efficiently applied to reconfigure distribution networks to select the optimal distribution network topology in order to achieve savings in power losses and improve voltage profile.

Keywords - Non-dominated sorting genetic algorithm–II (NSGA-II), reconfiguration, power loss, voltage profile, PSAT.

International Burch University

Journal of Natural Sciences and Engineering