Particle swarm optimization based approach for minimization power loss

Muhamad Khaleeq, Ahmad (2015) Particle swarm optimization based approach for minimization power loss. Project Report. UTeM. (Submitted)

Text PARTICLE SWARM OPTIMIZATION BASED APPROACH FOR MINIMIZATION POWER LOSS.pdf Download (628kB)

Abstract

The problem of Optimal Power Flow (OPF) has received much attention in the last two decades which this problem solution aims to optimize specific objective function such as loss power by adjustment the power control variables and at the same time satisfying the equality and inequality constraints. This research aimed to minimize the power loss and optimize the power transmission in a power system. Besides, this research also aimed to implement Particle Swarm Optimization (PSO) method to analyze this problem. However, Newton-Raphson method also will be used in order to compare the effectiveness between these two methods. To illustrate this problem, a network of 3-bus system will be tested. The study will begin by analyzing and retrieving data using the Newton-Raphson method and Microsoft Excel program will be used for that purpose. Then, PSO techniques will be used to analyze the power system which is also using the Microsoft Excel program. The analysis indicated that Particle Swarm Optimization (PSO) method was the most efficient method in terms of minimizing the power loss. This can be concluded that the Artificial Intelligence (AI) method such as Particle Swarm Optimization (PSO) is the most suitable and efficient method for analyzing the Optimal Power Flow (OPF) problem in terms of minimizing power loss.

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