Optimal Location of Reclosers in Distribution Networks with Distributed Generation Using Genetic Algorithms and Service Quality Indexes

Ubicación Óptima de Reconectadores en Redes de Distribución con Generación Distribuida Utilizando Algoritmos Genéticos e Índices de Calidad de Servicio

Published 2023-07-27


https://doi.org/10.37116/revistaenergia.v20.n1.2023.571
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Vol. 20 No. 1 (2023): Revista Técnica "energía", Edición No. 20, ISSUE I
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TECNOLÓGICOS E INNOVACIÓN
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Optimal Location of Reclosers in Distribution Networks with Distributed Generation Using Genetic Algorithms and Service Quality Indexes. (2023). Revista Técnica "energía", 20(1), PP. 65-72. https://doi.org/10.37116/revistaenergia.v20.n1.2023.571
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https://doi.org/10.37116/revistaenergia.v20.n1.2023.571
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Optimal Location of Reclosers in Distribution Networks with Distributed Generation Using Genetic Algorithms and Service Quality Indexes. (2023). Revista Técnica "energía", 20(1), PP. 65-72. https://doi.org/10.37116/revistaenergia.v20.n1.2023.571

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Juan Carlos Ríos
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https://orcid.org/0000-0002-0924-4525 ORCID
Carlos Quinatoa
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https://orcid.org/0000-0001-6369-7480 ORCID
Germán Casillas
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https://orcid.org/0000-0002-3578-7953 ORCID
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This paper presents a mathematical model for optimal location of reclosers placement using the genetic algorithm optimization technique in distribution systems, considering the insertion of distributed resources, such as distributed systems. The methodology includes the power flow solution using the open-source software OpenDSS, through the interface developed by Electric Power Research Institute - EPRI. The values of voltages, currents, powers and SAIFI/SAIDI indicators are transferred to Matlab software. The optimization algorithm determines the proper positions to install reclosers.

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