Título Application of genetic algorithms for unit commitment and economic dispatch problems in microgrids
Autores RODRÍGUEZ DEL NOZAL, ÁLVARO, TAPIA CÓRDOBA, ALEJANDRO, ALVARADO BARRIOS, LÁZARO, GUTIÉRREZ REINA, DANIEL
Publicación externa No
Medio Studies in Computational Intelligence
Alcance Capítulo de un Libro
Naturaleza Científica
Cuartil SJR 4
Impacto SJR 0.185
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076752343&doi=10.1007%2f978-3-030-33820-6_6&partnerID=40&md5=51d59dc8c8504f2731f9add1e8b65b1d
Fecha de publicacion 01/01/2020
Scopus Id 2-s2.0-85076752343
DOI 10.1007/978-3-030-33820-6_6
Abstract In the last decades, new types of generation technologies have emerged and have been gradually integrated into the existing power systems, moving their classical architectures to distributed systems. In spite of the positive features associated to this paradigm, new problems arise such as coordination and uncertainty. In this framework, microgrids (MGs) constitute an effective solution to deal with the coordination and operation of these distributed energy resources. This book chapter proposes a Genetic Algorithm (GA) to address the combined problem of Unit Commitment (UC) and Economic Dispatch (ED). With this end, a detailed model of a MG is introduced together with all the control variables and power restrictions. In order to optimally operate the MG, two operation modes are introduced, which attend to optimize economical factors and the robustness of the solution with respect power demand uncertainty. Therefore, it achieves a robust design that guarantees the power supply for different confidence levels. Finally, the algorithm is applied to an example scenario to illustrate its performance. © Springer Nature Switzerland AG 2020.
Palabras clave Economic dispatch; Genetic algorithm; Microgrids; Unit commitment
Miembros de la Universidad Loyola

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