Optimization Model Applied to the Generation of Electrical Energy for a Multi-Region Scenario

Author:

Santibáñez-Díaz Marco A.1ORCID,López-Garza Esmeralda1,Domínguez-Cruz René F.1ORCID,Salgado-Tránsito Iván2

Affiliation:

1. Universidad Autónoma de Tamaulipas, Mexico

2. Centro de Investigaciones en Óptica A.C., Mexico

Abstract

In this work, an optimization model based on linear programming is proposed applied to the eastern energy generation zone in Mexico. This model is formulated from the division into different regions that make up the study area and allows for scheduling the production of the plants in various time periods, minimizing operating costs. The division of the area consists of four regions where each one has various generation technologies, described with their parameters. The model establishes linear operating restrictions for the operation of the plants and restrictions that guarantee satisfying the demand for each region in each established period, through an analysis of the demand of the area, taking into account different costs at the time of generation and allocation of power. The results of the model show the transfers of electrical energy between the regions for an efficient economic dispatch of the area, this being a useful instrument for making decisions with a sustainable perspective in the efficient allocation of energy resources.

Publisher

IGI Global

Reference19 articles.

1. Arango, D., Urrego, R., & Rivera Rodríguez, S. (2017). Despacho económico en micro redes con penetración de energía renovable usando algoritmo de punto interior y restricciones lineales.Ingeniería y ciencia, 13(25), 123-152.

2. Centro Nacional de Control de Energía (CENACE). (2020). Demandas del Sistema Eléctrico Nacional. CENACE. https://www.cenace.gob.mx/Paginas/Publicas/Info/DemandaRegional.aspx

3. Equal embedded algorithm for economic load dispatch problem with transmission losses

4. Comisión Federal de Electricidad (CFE). (n.d.). Historia de la CFE. CFE. https://www.cfe.mx/nuestraempresa/pages/historia.aspx

5. de EnergíaS. (2019). SENER. Demanda y Consumo.

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