Implementación de un modelo para despacho en microrredes aisladas de la red eléctrica mediante el uso de análisis estocástico de las curvas de los recursos renovables

Abstract

The present research focuses on the implementation of an innovative methodology for energy dispatch in microgrids that operate independently of the main grid (CPG). The proposed methodology involves using the results of the stochastic analysis of NCRE as input data, which is then applied to the proposed MILP model for optimal dispatch. The novelty of this work lies in optimizing, through various scenarios of PV, Wind, BESS, and SOC, for energy dispatch, efficiently and adaptively managing NCRE in different time windows for the off-grid microgrid. By analyzing a scenario of a regular day and two weekend days over a 72-hour window, and restricting the BESS to start fully charged, the total cost given by the MILP objective function is $37.86. In contrast, if the BESS starts fully discharged, the total cost over the same time window and with the same NCRE resources decreases by 19.93% for the economic dispatch of the off-grid microgrid. This verifies the importance of analyzing multiple scenarios with different conditions in the resources available to the NCRE.