Distribution network reconfiguration by using evolutionary programming (EP) for minimizing power losses

Murnie Shakilla , Shidan (2014) Distribution network reconfiguration by using evolutionary programming (EP) for minimizing power losses. Project Report. UTeM. (Submitted)

Text DISTRBUTION NETWORK RECONFIGURATION BY USING EVOLUTIONARY PROGRAMING (EP) FOR MINIMIZING 24pages.pdf Download (482kB)

Abstract

In the worldwide trend toward restructuring the electricity network, there are a lot of problem. System power loss is one of the problems of distribution utilities. There are a lot of things affecting circuit loss such as sub-optimal configuration of the network, unbalance loading and unbalance line impedance. Currently, by the increasing the electricity demand, intelligence algorithm is one of the solutions that may help in minimizing the power losses in the power distribution network. This project presents a reconfiguration of the modern complex distribution network. The main objectives of this study are to minimize the power losses and improve the voltage profile while analysing the consistency and computing time effectively. The performance of Evolutionary Programming (EP) method for 16kV International Electronic Electrical Engineering (IEEE) test system has been compared with Genetic Algorithm (GA). While, EP achived 90% improvement better than GA respectively. From the result obtain, it can be concluded that EP algorithm is better in power loss reduction if to be compared to the GA algorithm. The results of this study is to help the power system engineers in Malaysia in order to solve the losses problem in the plant at the same time increasing the efficiency of the real 16-bus distribution system.

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