Pareja, Luis Alfonso GallegoPatiño, Juan Esteban Suarez2025-05-292025-05-292025-03-06https://repositorio.uel.br/handle/123456789/18853The increasing penetration of distributed energy resources (DER), such as solar photovoltaic (PV) generation, in power distribution systems (PDS) poses significant operational challenges. Hosting capacity (HC) is considered an indicator of the acceptable level of DER integration in a PDS, which is why efforts are made to increase its value. This study presents a methodology to enhance the HC of DER in PDS through the integration of distribution static compensator (D-STATCOM) devices and network reconfiguration. Aligned with the United Nations’ (UN) Sustainable Development Goals (SDG), the proposed approach employs mathematical models to determine the optimal placement of D-STATCOMs and solve the distribution systems reconfiguration (DSR) problem, ensuring a safer and more efficient integration of DER. All models are based on a power flow for radial PDS and are formulated as mixed-integer linear programming (MILP) optimization models. To date, such MILP models for D-STATCOM devices and for DSR and D-STATCOMs simultaneously have not been found in the specialized literature. Reconfiguration proves to be highly versatile in improving the overall conditions of the system, while the D-STATCOM devices, despite its effectiveness, has limitations that suggest the need for further analysis to explore its full potential. The methodology involves an iterative process to calculate the HC, incorporating D-STATCOM and DSR models in each iteration. The main contribution of this work is the introduction of a combined model that simultaneously integrates reconfiguration and D-STATCOM devices, providing a robust solution to address the challenges associated with the growing penetration of DER in PDS. The proposed methodology was validated using the 33, 69, and 136-bus benchmark test systems, widely referenced in specialized literature. The results demonstrate that the combination of these two approaches significantly increases HC, achieving up to 95% improvement in cases with critical initial limitations. The results also demonstrate the accuracy of the iterative method for calculating HC, as well as the effectiveness and efficiency of D-STATCOM devices and DSR in increasing HC and improving the operational conditions of PDS.porGeneração distribuídaTransição energéticaFACTSProgramação linear inteira mistaOtimizaçãoEngenharia elétricaDissertaçãoEngenharias - Engenharia ElétricaEngenharias - Engenharia ElétricaDistributed generationEnergy transitionFACTSMixed integer linear programmingOptimization