Despacho hidrotérmico de corto plazo : herramienta computacional, en lenguaje python, para la solución del despacho hidrotérmico a corto plazo considerando la red eléctrica mediante aproximación dc con y sin pérdidas.

Abstract

In the present work, a computational tool was developed in Python to address the shortterm hydrothermal dispatch problem in electrical systems, considering network losses. The developed tool engages in optimizing short-term operational planning. The primary goal is to minimize the daily operational costs of thermal power plants, which encompass expenses related to fuels, as well as start-up and shutdown processes. The tool implements two loss calculation methods: the method of distributed slack buses and the iterative method with AC flow. The tool was evaluated on the IEEE 14-bus test system and the Ecuadorian National Interconnected System (SNI), using data provided by CENACE. For the SNI case, data from both the rainy and dry hydrological seasons were utilized. In each of the case studies, production cost function, generation profile, losses, and the execution time of the computational tool were compared. The results reveal the optimal power generated by the power plants to minimize energy dispatch costs, and these outcomes are presented through graphs and tables.