Statistical Benchmarking of Distribution System State Estimation Algorithms Across Networks and Operating States

This repository contains dataset for benchmarking power distribution system state estimation (SE) and the software used to generate benchmark use cases, execute the SE experiments, and conduct the subsequent statistical analyses. Total 3 networks with 8 different measurement placement variants with 128 randomly generated loads and observations samples are provided.All combinations were subject to state estimation using algorithms from the `pandapower.estimation` module and a from a custom software implementation `sestila` (included). Enclosed are:- constructed benchmark dataset with estimation results for individual SE algorithms- snapshot of the `sestila` software `v0.1.1`, which includes: - Benchmark data generation - State estimation execution - Statistical comparison workflows - Figure generation and reporting Details on contents and usage are available in the enclosed `ReadMe.txt` file.Current version of the `sestila` SW is available at https://code.it4i.cz/krp0017/sestila . This work was supported by:- EU funds under the project “Increasing the resilience of power grids in the context of decarbonisation, decentralisation and sustainable socioeconomic development” (CZ.02.01.01/00/23_021/0008759), through the Operational Programme Johannes Amos Comenius.- EU under the “REFRESH – Research Excellence For Region Sustainability and High-tech Industries” (project No. CZ.10.03.01/00/22\_003/0000048) via the Operational Programme Just Transition.- the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254), providing access to supercomputing infrastructure.