MINIMIZE POWER LOSS USING PARTICLE SWARM OPTIMIZATION TECHNIQUE
Journal Title: International Journal of Electrical Engineering & Technology (IJEET) - Year 2019, Vol 10, Issue 2
Abstract
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.
Authors and Affiliations
TARUNKUMAR D. PATEL and A. G. ACHARYA
Keywords
Related Articles
- EP ID EP46585
- DOI 10.34218/IJEET.10.2.2019.007
- Views 278
- Downloads 0
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