Maximización del beneficio económico anual en redes de distribución a través de la minimización de pérdidas de potencia

Abstract

This degree project presents the formulation and implementation of a Mixed Integer Nonlinear Programming (MINLP) algorithm that optimizes the location and size of STATCOMs in electrical power distribution systems, minimizing power losses from the grid and maximizing their annual TCS. Firstly, a theoretical approach is presented about the optimal inclusion of different technologies (BESS, GDs and FACTS) in electrical energy transmission and distribution systems, in order to obtain an overview of the different optimization models implemented and the results obtained in each line of research. In addition, the benefits obtained by including STATCOMs in distribution networks are exposed and the theoretical bases that gave place to the development of the project are raised. Subsequently, the mathematical formulation and solution strategy of the optimization model was presented, including its restrictions and the two scenarios proposed for obtaining the results. In addition, the IEEE-33 and IEEE-69 radio distribution networks were defined as trial systems and their characteristics were exposed. Finally, the optimization algorithm was implemented to the trial systems using the GAMS optimization software. Two base cases were defined for the IEEE-33 network (A and B) and two solution scenarios for both trial systems, to make an accurate comparison with the IA and GHS algorithms proposed in [1] and [2] respectively. The comparison was made through the results obtained regarding the reduction of power losses, maximization of the economic benefit and correction of the tension profile.