Electric Network Topology Optimization with Distributed Generation using Pandapower Library

Abstract

The paper describes the selection of the optimal topology for a distributed electric network with renewable energy sources. The Newton-Raphson method is used to calculate power flows, which is the basis of the Pandapower library. The library is a Python-based tool for modeling, analyzing, and optimizing electrical networks. It allows for the creation and modification of electrical schematics, calculation of power flows, determination of voltages and currents, as well as optimization of system performance. The result of the work is the determination of the optimal configuration in terms of minimizing electrical energy losses in network lines. The developed software allows for loading data on network nodes and lines, including active and reactive power consumption and generation, performing steady-state calculations with determination of losses in lines. Due to the automation of calculations, it is possible to perform calculations for all permissible network topologies and select the optimal one for the given conditions. The result of the work is the determination of the optimal configuration in terms of minimizing electrical energy losses in network lines.