A distribution network reconfiguration by using rank evolutionary particle swarm optimization for power losses minimization

Siti Noratika , Othman (2014) A distribution network reconfiguration by using rank evolutionary particle swarm optimization for power losses minimization. Project Report. UTeM. (Submitted)

Text A DISTRIBUTION NETWORK RECONFIGURATION BY USING RANK EVOLUTIONARY PARTICLE SWARM OPTIMIZATION (REPSO) FOR POWER LOSSES MINIMIZATION 24pages.pdf Download (640kB)

Abstract

Distribution network reconfiguration (DNR) is an important measure of optimizing the electrical system and a key research on the automatic operation. Distribution network reconfiguration has been used for several purposes, usually for loss reduction.In this report, there are several objectives that have been highlighted to be achieved. Firstly, is to reduce the power losses in the distribution network reconfiguration by using rank evolutionary particle swarm optimization (REPSO). Secondly, to analyze the computational time. The effectiveness of the new REPSO method for the DNR is a new method that is based on the evolutionary particle swarm optimization (EPSO) and the traditional particle swarm optimization by using the concept of combination, selection and ranking. A comprehensive performance analysis has been carried out on IEEE 33 and 69 bus distribution network system. The proposed method has been implemented and the real power losses in the network system investigated. The successful results of this method can be applied to help in saving the investment, reducing the power cutting as well as the line losses and thus improve the quality of the electrical power system in Malaysia.

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