Despacho económico en sistemas eléctricos con generación híbrida a través del algoritmo de evolución diferencial suponiendo escenarios de limitación energética

Abstract

This research paper addresses the challenge of short-term economic dispatch in hybrid generation systems under scenarios of energy constraints caused by low water levels. The objective of comparing different generation scenarios is to assess the impact of renewable resource-based power plants on the total operating cost of an Electric Power System. The hybrid generation system consists of hydroelectric plants, thermoelectric plants, photovoltaic solar plants, and wind farms. The latter two sources are particularly significant, as their operation is subject to potential interruptions due to the stochastic nature of their primary resources: solar radiation, wind and ambient temperature. To predict their behavior, the Monte Carlo method is employed, leveraging probability distribution functions to forecast resources availability over the planning horizon. Subsequently, the case studies are framed as a hydrothermal dispatch problem, solved using heuristic and metaheuristic techniques, with a particular emphasis on the Differential Evolution algorithm.