A Comparative Study of Various Combinatorial Approaches for Minimization of Transmission and Distribution Losses

Abstract

The percentage loss of electric energy due to transmission and distribution(T&D) is notable. As the urbanization is expanding, connectivity is becoming more complex and T&D losses are further increasing. These T&D losses can be minimized significantly by optimizing the connectivity of electricity lines. The major objective of this work is to optimize the placement of transformed in residential areas to minimize the transmission losses. To achieve the desired goal three approaches have been considered: deterministic, clustering and stochastic. In deterministic approach, brute force method is applied, in clustering K-means unsupervised clustering is applied and in stochastic approach stimulated annealing is used. A comparative analysis of all three aforesaid approaches has been done on real time data collected from PSPCL, to calculate the percentage reduction in transmission and distribution (T&D) loss by applying aforesaid approaches.