pandapower

pandapower is an open-source Python library for power system analysis. It is built upon pandas DataFrames, providing a convenient and efficient way to represent and manipulate power system components and their parameters. The library facilitates power flow calculations, optimal power flow (OPF), and state estimation. Its primary goal is to offer a user-friendly interface for researchers and engineers working with power grids.

The core data structure in pandapower is the net, which is a pandas DataFrame that holds the network topology and component data. Different elements of the power system, such as buses, lines, transformers, and generators, are represented as separate tables within this net. This tabular format makes it easy to inspect, modify, and analyze the network data.

pandapower leverages established power system analysis algorithms, often integrating with or providing interfaces to libraries like PYPOWER and MATPOWER for complex computations. It allows users to model various aspects of power systems, from small distribution networks to larger transmission systems. The library's open-source nature encourages community contributions and ongoing development, making it a flexible tool for a wide range of power system applications. Its integration with the broader Python data science ecosystem, including libraries like NumPy and SciPy, further enhances its analytical capabilities.