Propuesta metodológica para el despacho energético aplicada al parque eólico huascachaca mediante sistemas de almacenamiento energético

Abstract

The rapid development of wind energy has positioned it as a cornerstone in the transition toward sustainable energy sources. However, the inherent variability of wind power generation presents operational challenges that require innovative approaches. This paper proposes a methodology for sizing an energy storage system (ESS) aimed at storing surplus production and releasing it during periods of deficit while simultaneously reducing the variability of wind power injected into the grid. The approach employs a fuzzy logic-based control algorithm. The Huascachaca wind farm serves as the case study. The results demonstrate that integrating short- and long-term storage systems with low capacities effectively capture energy surpluses but is limited in smoothing power fluctuations. Conversely, systems with medium and high capacities achieve greater stabilization of grid-injected power, thereby reducing undelivered energy and mitigating variability, enhancing overall efficiency. The study concludes with a preliminary economic analysis to assess the ESS's feasibility over the short, medium, and long term, considering current regulations and the energy revenue from the Huascachaca wind farm.