Hybrid Particle Swarm Optimization for Economic Load Dispatch
Author(s):
Parul Pandey, Dr. K T Chaturvedi
Keywords:
Particle Swarm Optimization (PSO) Algorithm using the data of three generating units. In this work, data has been taken such as t
Abstract
Economic Dispatch is an important optimization task in power system. It is the process of allocating generation among the committed units such that the constraints imposed are satisfied and the energy requirements are minimized. More just, the soft computing method has received supplementary concentration and was used in a quantity of successful and sensible applications. Here, an attempt has been made to find out the minimum cost by using Particle Swarm Optimization (PSO) Algorithm using the data of three generating units. In this work, data has been taken such as the loss coefficients with the maxim power limit and cost function. A non-convex method for ELD problem using PSO is applied to find out the minimum cost for different power demand. When the results are compared with the traditional technique, PSO seems to give a better result with better convergence characteristic. All the methods are executed on MATLAB. The effectiveness and feasibility of the proposed method were demonstrated by three generating unit’s case study. The experiment showed encouraging results, suggesting that the proposed approach of computation is capable of efficiently determining higher quality solutions addressing economic dispatch problems
Article Details
Unique Paper ID: 152385

Publication Volume & Issue: Volume 8, Issue 3

Page(s): 292 - 298
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