Minimizing power losses by using improved genetic algorithm (IGA) for distribution network reconfiguration (DNR)

Nurul Farhana , Omar (2014) Minimizing power losses by using improved genetic algorithm (IGA) for distribution network reconfiguration (DNR). Project Report. UTeM. (Submitted)

Text MINIMIZING POWER LOSSES BY USING IMPROVED GENETIC ALGORITHM (IGA) FOR DISTRIBUTION NETWORK RECONFIGURATION (DNR) 24pages.pdf Download (350kB)

Abstract

Power losses issues persevered over few decades in the high demand utilization of energy electricity in developing countries. Thus, the radial structure of distribution network configuration is extensively used in high populated areas to ensure continuity of power supply in the event of fault. This paper proposes heuristic Genetic Algorithm known as IGA (Improved Genetic Algorithm) in consideration of genetic operator probabilities likewise the progression of switch adjustment in Distribution Network Reconfiguration (DNR) while satisfying the parameters constraints. The IGA algorithm was embodied throughout the process in IEEE 33-bus distribution system in selection of five tie switches. As a consequence, the power losses were ranked in accordance to the minimum values and voltage profile improvement obtainable by the proposed algorithm. The results show that the IGA performs better than GA by giving the minimized value of power losses. Keywords : Distribution Network Reconfiguration (DNR), Genetic Algorithm (GA), Improved Genetic Algorithm (IGA)

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