Gestión óptima de plantas de potencia virtuales para minimizar costos de operación en las redes eléctricas de distribución.

The present investigation raises the development of a multi-objective convex optimization mathematical model that allows optimizing the cost of operation in a Day-Ahead prediction model in balanced electrical distribution networks. For this, a mathematical model is used that considers the technical...

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Autor principal: Colimba Colimba, Edison Joel (author)
Altres autors: Salazar Moyolema John Alexis, John Alexis (author)
Format: bachelorThesis
Idioma:spa
Publicat: 2023
Matèries:
Accés en línia:http://repositorio.utc.edu.ec/handle/27000/10368
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Sumari:The present investigation raises the development of a multi-objective convex optimization mathematical model that allows optimizing the cost of operation in a Day-Ahead prediction model in balanced electrical distribution networks. For this, a mathematical model is used that considers the technical and resource restrictions, which allows maximizing the efficiency and profitability of the virtual power plant. In this approach, second order conic programming (SOCP) is used to represent the complex mathematical relationships and constraints present in the system in order to obtain approximations that provide a global optimum.