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Electrical Engineering
Erschienen in: Electrical Engineering 4/2018

17.10.2018 | Original Paper

What metaheuristic solves the economic dispatch faster? A comparative case study

verfasst von: Hamdi Abdi, Hamid Fattahi, Sara Lumbreras

Erschienen in: Electrical Engineering | Ausgabe 4/2018

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Abstract

The economic dispatch (ED) is one of the most important short-term problems in power systems, and solving it quickly is essential. However, classical optimization tools are often too computationally demanding to be considered satisfactory. This has motivated the application of metaheuristic methods, which offer a good compromise in terms of solution quality and computation time. However, these methods have been applied in an isolated way and on different problem definitions and case studies, so that there were no clear insights on how they compared to each other. This paper fills this gap by performing an objective comparison of six metaheuristics solving the ED in several case studies under different conditions. Although mixed-integer programming performs best for small case studies, our results confirm that metaheuristics are able to efficiently solve the ED problem. Genetic algorithms emerge as the best performers in terms of solution quality and computation time, followed by PSO and TLBO.
Vorheriger Artikel The use of differential geometry methods for linearization of nonlinear electrical circuits with multiple inputs and multiple outputs (MIMOs)

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Metadaten
Titel
What metaheuristic solves the economic dispatch faster? A comparative case study
verfasst von
Hamdi Abdi
Hamid Fattahi
Sara Lumbreras
Publikationsdatum
17.10.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 4/2018
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-018-0750-4

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