Métodos de optimización heurística para la optimización de la coordinación de protecciones eléctricas de sobre corriente : Método de optimización de algoritmo Cuckoo Optimization Algorithm (COA) aplicado a la coordinación de protecciones eléctricas de sobre corriente.

Abstract

In developing the theoretical framework, this work takes the fundamentals of the literature to adapt them in the following way. Initially, an introduction to electrical overcurrent protections in Electrical Power Systems is presented. Following this, the document delves into the overcurrent relays and their classification. Subsequently, details about the IEEE 13-node test system modeled in PowerFactory are provided. The literature review of the Cuckoo Optimization Algorithm (COA) continues. Finally, it presents the selected objective function to obtain the optimal coordination between relays 51. The following procedures are employed for the methodology and analysis of the results. In the first instance, 50/51 overcurrent protections are incorporated into the test system in the study case Study Detailed Network Model, and a proposal for adjustment using traditional criteria to these protections is presented. Then, the COA algorithm is coded into Python. Following this, it raises the problem of optimal coordination of overcurrent relays (Inverse Time Overcurrent Relay - 51). The objective function used in the COA algorithm is then coded in Python, and preliminary optimal results are obtained. Finally, the COA algorithm (Python) is linked to the test system (PowerFactory) to improve the search for optimal results, automate calculations, and perform fault sweeping. The results analyze the improvement when implementing the optimization, reviewing the reduction of operation times and coordination between relays. It is determined that the COA algorithm successfully resolves this optimization problem favorably, decreasing the operation times of the relays and, at the same time, coordinating between them by adjusting them to the optimal parameters.