Investigation of Load Variant Under Power Distribution Network Reconfiguration Using EPSO Algorithm

This paper presents the solution of optimal power flow (OPF) using particle swarm optimization (PSO). The objective function is minimize power loss by adjustment the power control variables and at the same time satisfying the equality and inequality constraints. The proposed particle swarm optimization (PSO) method is compared with newton’s Raphson method (conventional method) approach on the standard IEEE 14 bus system. 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 analysing the Optimal Power Flow (OPF) problem in terms of minimizing power loss.

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Minimize power loss using particle swarm optimization technique

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Minimize power loss using particle swarm optimization technique