Application of the invasive weed optimization algorithm to economic dispatch problems

Application of the invasive weed optimization algorithm to economic dispatch problems

Abstract

In this paper the invasive weed optimization algorithm has been applied to a variety of economic dispatch (ED) problems. The ED problem is concerned with minimizing the fuel cost by optimally loading the electrical generators which are committed to supply a given demand. Some involve prohibited operating zones, transmission losses and valve point loading. In general, they are non-linear non-convex optimization problems which cannot be directly solved by conventional methods. In this work the invasive weed algorithm, a meta-heuristic method inspired by the proliferation of weeds, has been applied to four numerical examples and has resulted in promising solutions compared to published results.

Keywords

economic dispatch (ED) / invasive weed optimization / non-convexity / prohibited operating zones (POZ) / valve point loading / meta-heuristic

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Acknowledgements

The authors are extremely grateful to the Chancellor, Vice-Chancellor and Vice-Presidents of VIT University, Vellore, for providing the excellent infrastructure facilities and encouragement which have made this research work possible.

版权

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg