Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic Algorithm

Authors

DOI:

https://doi.org/10.33448/rsd-v10i2.12641

Keywords:

Interdisciplinarity; Electric Power Generation; Genetic Algorithm; Natural gas.

Abstract

This paper proposes a method based on genetic algorithm (GA) for the security-constrained optimal dispatch of integrated natural gas and electricity networks, considering operating scenarios in both energy systems, demonstrating the importance of interdisciplinary teaching in the academic contents of Mathematics, Physics and Computing in modeling engineering problems. The mathematical formulation of the optimization problem consists of a multi-objective function which aims to minimize both costs of thermal generation (using processes based on diesel oil and natural gas) as well as the production and transportation of natural gas. The joint gas-electricity system is modeled by two separate groups of nonlinear equation, which are solved by the combination of Newton's method with the GA. The applicability of the proposed method is tested in the Belgian gas network integrated with the IEEE 14-bus test system and a 15-node natural gas network integrated with the IEEE 118-bus test system. The results demonstrate, with excellent levels of precision and accuracy, that the proposed method provides efficient and secure solutions for different operating scenarios in both energy systems, henceforth the case study carried out by the research group Gradient de Mathematical Modeling and Computational Simulation - GM²SC, linked to the Federal Institute of Education, Science and Technology of Pará - IFPA Campus Ananindeua.

Author Biographies

Heictor Alves de Oliveira Costa, College Estácio Belém

Graduating, in the last period, in Computer Engineering; member of the research group Gradiente de Mathematical Modeling and Computational Simulation - GM²SC; develops research in the area of ​​quantum computing and topology applied to the implementation of computational models.

Denis Carlos Lima Costa, Instituto Federal de Educação, Ciência e Tecnologia do Pará

Doctor in Energy Systems; professor at the Federal Institute of Education, Science and Technology of Pará; leader of the research group Gradient of Mathematical Modeling and Computational Simulation - GM²SC, member of the research group LICTI.

Lair Aguiar de Meneses, Instituto Federal de Educação, Ciência e Tecnologia do Pará

Master in Electrical Engineering; professor at the Federal Institute of Education, Science and Technology of Pará; member of the Gradiente research group on Mathematical Modeling and Computational Simulation - GM²SC.

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Published

21/02/2021

How to Cite

COSTA, H. A. de O.; COSTA, D. C. L.; MENESES, L. A. de. Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic Algorithm. Research, Society and Development, [S. l.], v. 10, n. 2, p. e42110212641, 2021. DOI: 10.33448/rsd-v10i2.12641. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/12641. Acesso em: 13 nov. 2024.

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Section

Engineerings