Artículo
A technical and economic approach to multi-level optimization models for electricity demand considering user-supplier interaction
Fecha de publicación:
17/02/2021
Editorial:
King Saud University
Revista:
Journal of King Saud University - Engineering Sciences
ISSN:
1018-3639
e-ISSN:
2213-1558
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
One-level optimization methods have been proposed to optimize a single user’s load profile or a cluster of users in the smart grids. In this work, two two-level optimization methods are studied, one case considering technical requirements (case 1) and another considering economic criterion (case 2). In the upper level, the supplier optimizes the objective function. Meanwhile, at the lower level, users optimize their electrical costs. The proposed methods are based on Genetic Algorithm methods. In this sense, an indirect control is established in which users react to a price signal. Simulation results illustrate that both cases improve the demand profile and increase the retailer profit concerning an unscheduled case. However, when the supplier tries to maximize the profit, some users receive benefits to detriment of others, concluding that the technical approach is preferable to the economic one.
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Articulos(CCT - CORDOBA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - CORDOBA
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - CORDOBA
Citación
Bragagnolo, Sergio Nicolás; Vaschetti, Jorge Carlos; Magnago, Fernando; A technical and economic approach to multi-level optimization models for electricity demand considering user-supplier interaction; King Saud University; Journal of King Saud University - Engineering Sciences; 2021; 17-2-2021; 1-8
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