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J JASPER
T ARULDOSS ALBERT VICTOIRE

Abstract

In this paper, an adaptive strategy based bacterial foraging optimization (ABFO) technique to solve non-convex economic load dispatch (NCELD) problem of thermal plants. The presented methodology can take care of economic dispatch problems involving constraints such as transmission losses, valve point loading, ramp rate limits and prohibited operating zones. The idea of ABFO is motivated by the natural selection which tends to eliminate the animals with poor foraging strategies and favour those having successful foraging strategies. The ABFO method is tested with two power system cases consisting of 6 and 13 thermal units. Comparison with similar approaches including Genetic Algorithm (GA), particle swarm optimization (PSO) and other versions of differential evolution (DE) are given. The presented method outperforms other state-of-the-art algorithms in solving economic load dispatch problems with the valve-point effect.

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