In this paper, we propose a master–slave methodology to address the problem of optimal integration (location and sizing) of Distributed Generators (DGs) in Direct Current (DC) networks. This proposed methodology employs a parallel version of the Population-Based Incremental Learning (PPBIL) optimization method in the master stage to solve the location problem and the Vortex Search Algorithm (VSA) in the slave stage to solve the sizing problem. In addition, it uses the reduction of power losses as the objective function, considering all the constraints associated with the technical conditions specific to DGs and DC networks. To validate its effectiveness and robustness, we use as comparison methods, different solution methodologies that have been reported in the specialized literature, as well as two test systems (the 21 and 69-bus test systems). All simulations were performed in MATLAB. According to the results, the proposed hybrid (PPBIL–VSA) methodology provides the best trade-off between quality of the solution and processing times and exhibits an adequate repeatability every time it is executed.
Este artículo presenta un nuevo modelo para la expansión de sistemas eléctricos de distribución con penetración de generación distribuida, considerando un planeamiento multi-etapa coordinado. El problema se formuló como un modelo de programación no lineal entero mixto y se solucionó empleando un algoritmo de búsqueda tabú. Para cada etapa del horizonte de planeamiento se consideró la instalación de nuevos elementos (alimentadores, subestaciones y generadores distribuidos), aumento de la capacidad de elementos existentes (alimentadores y subestaciones) y costos operativos asociados a las pérdidas técnicas de energía en alimentadores. Los resultados obtenidos validan la metodología propuesta al encontrar menores costos frente a dos escenarios de la literatura: planeamiento multietapa no coordinado y coordinado (ambos sin generación distribuida). Descriptores: algoritmo búsqueda tabú, generación distribuida, planeamiento multi-etapa no coordinado y coordinado, sistemas eléctricos de distribución.
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