LV state estimation and TSO–DSO cooperation tools: results of the French field tests in the evolvDSO project

Abstract

This study presents the results of field tests performed on French medium-voltage distribution networks with two novel algorithms developed in the framework of the evolvDSO Project. Working in the transmission system operator and distribution system operator (TSO-DSO) cooperation domain, the interval constrained power flow tool estimates the flexibility range at primary substations by aggregating the distribution network flexibility. The lowvoltage state estimator tool evaluates the voltage profile of a low-voltage (LV) network using an artificial neural network trained on historical data. Based on real-field data and considering various real-life scenarios, both algorithms look promising in terms of efficiency and scalability. Areas of improvement were also identified.

Conceptual Analysis of Distribution System State Estimation of Low Voltage Networks

“…Firstly, a French project called evolvDSO is introduced, where two novel algorithms were developed to apply DSSE in MV and LV networks for Enedis DSO. [13] This tool is useful for both the transmission system operator (TSO) and DSO, as the calculation of flexibility ranges at primary substation level, while also providing voltage profiles for the considered LV network by using artificial neural networks. The MV level algorithm called interval constrained power flow improves the system security by estimating the available flexibility for the following day.…”

“…The error from the historical highest load pseudomeasurements was high (around 29%), while the enhanced pseudo-measurements (considering the effects of distributed generation) brought it down to 5% average. As a summary, the above-mentioned projects offer viable use-cases with pilot application results, such as flexibility range calculation and voltage limit violation indication [13], distributed generation hosting capacity increase [14]. Different approaches are present to generate pseudomeasurements, such as using historical data, predicted load and generation profiles and weather data.…”