Abstract
Due to the high importance of economic dispatch in planning and operating electric power systems, new methods have been researched to minimize the costs of power generation. To calculate these costs, the power generation of each thermal unit must be evaluated. When a thermal unit is modelled considering real world constraints, such as multiple fuels and valve point effect, traditional optimization methods are inefficient due to the nature of the cost function. This paper shows a study of a metaheuristic method, based on flower pollination to search for satisfactory results for economic dispatch. The results obtained are compared with results from other authors, with the purpose of evaluating how efficient the technique presented here is.
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Change history
24 August 2017
In the originally published version of this paper the name of the fifth author was inadvertently published with a spelling error. The name “Marcos T.B. de Olveira” was corrected to “Marcos T.B. de Oliveira”.
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Acknowledgments
The authors would like to thank INERGE (Instituto Nacional de Energia Elétrica), GOHB (Grupo de Otimização Heurística Bioinspirada) and FCT (Fundação Centro Tecnológico de Juiz de Fora) for the support given throughout the development of this paper, which made it possible.
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Souza, R.O.G., Oliveira, E.S., Silva Junior, I.C., Marcato, A.L.M., de Oliveira, M.T.B. (2017). Flower Pollination Algorithm Applied to the Economic Dispatch Problem with Multiple Fuels and Valve Point Effect. In: Oliveira, E., Gama, J., Vale, Z., Lopes Cardoso, H. (eds) Progress in Artificial Intelligence. EPIA 2017. Lecture Notes in Computer Science(), vol 10423. Springer, Cham. https://doi.org/10.1007/978-3-319-65340-2_22
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DOI: https://doi.org/10.1007/978-3-319-65340-2_22
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