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The Comparison of Root Finding Techniques with MPSO and GA to Solve the ED Problems

Publish Year: 1389
Type: Conference paper
Language: English
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Document National Code:

PSC25_021

Index date: 13 February 2012

The Comparison of Root Finding Techniques with MPSO and GA to Solve the ED Problems abstract

This paper presents the application of numerical methods for solving Economic Dispatch (ED) problem with generator constraints and transmission losses. The proposed algorithm involves the selection of minimum and maximum incremental fuel costs (lambda values) and then, the evaluation of optimal lambda is done by root finding techniques at required power demand. This algorithm has been tested on a system having 6, 15, 26 and 3 generating units with nonsmooth cost function and valve point effect. Simulation results were compared in terms of solution quality, convergence characteristics and computation efficiency with conventional methods such as lambda iterative method, heuristic methods such as genetic algorithm and meta-heuristic methods such as MPSO. For more comprising, ED problem has been implemented with matlab optimization toolbox and power system toolbox.

The Comparison of Root Finding Techniques with MPSO and GA to Solve the ED Problems Keywords:

Economic Dispatch (ED) , Nonsmooth Optimization , Root Finding Techniques , Modofied Particle Swarm Optimization (PSO)

The Comparison of Root Finding Techniques with MPSO and GA to Solve the ED Problems authors

Fateme Nournjad

Sahand University Of Technology Iran

Rasool Kazemzadeh

Sahand University Of Technology Iran