Tratamiento de problemas de optimización en redes eléctricas de distribución radiales y desbalanceadas utilizando métodos iterativos programados en lenguaje Python : tratamiento del problema de ubicación óptima de capacitores en redes eléctricas de distribución radiales y desbalanceadas utilizando métodos iterativos programados en lenguaje Python.

Abstract

Electrical systems consist of three essential components: generation, transmission, and distribution. Distribution networks, which include feeders, distribution transformers, and medium and low voltage networks, face increasing challenges due to rising electrical demand. These challenges include overloads, low voltage, interruptions, and power losses. To mitigate these issues, solutions such as new feeders, transformer replacements, and the use of capacitors can be implemented. This work evaluated the technical impact of capacitor connections at different points in a radial and unbalanced test network, using iterative algorithms programmed in Python. A test network was selected, commercial capacitor data was collected, and power flow simulations were conducted. The developed heuristic algorithm determined the optimal capacitor locations, improving the voltage profile and reducing power losses in the network.