A Comparative Study Of Hybridization Method Of Particle Swarm Optimization (PSO) Family For Network Reconfiguration

Muhammad Khairillah, Yunus (2015) A Comparative Study Of Hybridization Method Of Particle Swarm Optimization (PSO) Family For Network Reconfiguration. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Electric power distribution loss and reliability are major concerns in power system as the demand of electrical energy by customers keep increasing from day to day. Distribution network reconfiguration (DNR) is one of the method that can be applied in the system to minimize the power loss in existing distribution network. This project proposed the comparative study between the meta-heuristics PSO Family that consists of traditional PSO and hybrid PSO ; EPSO and REPSO. The performance on the power loss, computing time and total cost saving has been applied on the algorithm. A comprehensive performance analysis has been applied on IEEE 33 bus distribution system by using the simulation in the MATLAB environment. The proposed technique has been integrated as well as the real power losses along with computation time in the network system offers also been investigated and justified. From this studies, the best PSO Family algorithm that excel in performance of power losses reduction, computation time and total cost save has been determined. Thus, distribution network reconfiguration can certainly be utilized to greatly assist in conserving the expenditure, decreasing the power losses as well as increase the quality and even reliability of electrical power system throughout Malaysia.

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