Abstract: The aim of reconfiguring the electric power distribution network under normal operating conditions is to reduce the total active power losses of the network or to balance the load of the system's feeders which is an important part of distribution network operation to improve system reliability and stability. However, the three objectives of the distribution engineers is power losses minimization, maintenance of good voltage profile and minimum feeders' current levels. For the past forty two (42) years, researchers have proposed various methodologies that include pure heuristic and artificial intelligent-based methods. This paper examines a comprehensive bibliographical study and general backgrounds........
Key Words: Artificial intelligent-based optimization algorithms, Distribution network, Load balancing, Network reconfiguration, Power loss.
[1]. Shamsudin, N.H, Omar, N.F, Salaima, M,F, Jaafar, H.I and Kadir, A.F.A. "The Distribution Network Reconfiguration Improved Performance of Genetic Algorithm Considering power Losses and Voltage Profile," International Journal of Engineering and Technology (IJET), Vol. 6, No. 2, April – May 2014. Pg. 1247 - 1258.
[2]. Merlin, A. and Back, H. "Search for a minimal – loss Operating Spanning Tree Configuration in an Urban Power Distribution System," Proceedings of 5th Power System Computation Conference (PSCC), Cambridge, UK, 1975, Pg. 1 – 18.
[3]. Bernardon, D.P., Pfitsher, L.L., Canha, L.N., Abaide, A.R., Gaecia, V.J., Montagner, V.F., Comassetto, L. and Ramos, M. (n.d), "Automatic Reconfiguration of Distribution Network using Smart Grid Concepts," Federal University of Santa Mariaz. AES Sul, Power Utility Roraima Avenue, Brazil.
[4]. Rudnick, H., Harnisch, I and Sanhueza, R. "Reconfiguration of Electric Distribution systems," REVISTA FACULTAD DE INGENIERIA, U.T.A. (CHILE), VOL. 4, 1997. Pg. 41 – 48.
[5]. Augugliaro, A., Dusonchet, L., and Sanseverino, R. "Service Restoration in Compensated Distribution Networks using a Hybrid Genetic Algorithm," Electric Power System Research, Vol. 46, No. 1, June 1998. Pg. 59 – 66.