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Energies 2019, 12(7), 1270; https://doi.org/10.3390/en12071270

Optimization of the Contracted Electric Power by Means of Genetic Algorithms

Department of Engineering, University of Almería, 04120 Almería, Spain
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Received: 28 February 2019 / Revised: 31 March 2019 / Accepted: 1 April 2019 / Published: 2 April 2019
(This article belongs to the Special Issue Optimization Methods Applied to Power Systems)
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Abstract

An adequate selection of an energy provider and tariff requires us to analyze the different alternatives to choose one that satisfies your needs. In particular, choosing the right electricity tariff is essential for reducing company costs and improving competitiveness. This paper analyzes the energy consumption of large consumers that make intensive use of electricity and proposes the use of genetic algorithms for optimizing the tariff selection. The aim is to minimize electricity costs including two factors: the cost of power contracted and the heavy penalties for excess of power demand over the power contracted in certain time periods. In order to validate the proposed methodology, a case study based on the real data of energy consumption of a large Spanish university is presented. The results obtained show that the genetic algorithm and other bio-inspired approaches are able to reduce the costs associated to the electricity bill. View Full-Text
Keywords: electric power contracts; electric energy costs; cost minimization; evolutionary computation; bio-inspired algorithms electric power contracts; electric energy costs; cost minimization; evolutionary computation; bio-inspired algorithms
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Alcayde, A.; Baños, R.; Arrabal-Campos, F.M.; Montoya, F.G. Optimization of the Contracted Electric Power by Means of Genetic Algorithms. Energies 2019, 12, 1270.

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