A comparative study of optimization algorithms for 33kV distribution network reconfiguration

Mohd Fadhlan , Mohamad (2014) A comparative study of optimization algorithms for 33kV distribution network reconfiguration. Project Report. UTeM. (Submitted)

Text A COMPARATIVE STUDY OF OPTIMIZATION ALGORITHMS FOR 33KV DISTRIBUTION NETWORK RECONFIGURATION 24pages.pdf Download (416kB)

Abstract

Distribution Network Reconfiguration (DNR) has been a part of importance strategies in order to reduce the power losses in the electrical network system. Due to the increase of demand for the electricity and high cost maintenance, feeder reconfiguration has become more popular issue to discuss. In a network which connects all electricity form generation, transmission and distribution, the quality of the power is important. The reducing in power losses and voltage profile improvement is a major aspect to achieve an efficient and secure distribution system. In this project, comparative studies among several optimization methods which are Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) had been done. The objectives of this study are to compare the performance in terms of Power Losses Reduction (PLR), percentage of Voltage Profile Improvement (VPI), and Convergence Time (CT) while select the best method as a suggestion for future research. The programming has been simulated in MATLAB environment and IEEE 33-bus system. Artificial Bee Colony (ABC) method has shown the superior results in the analysis of two objectives function that are Power Loss Reduction (PLR) and Voltage Profile Improvement (VPI).

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