Final Workshop on "Development and Application of State Estimation Methodology Using ANN for Urban Electricity Distribution Systems in India"

The final workshop on “Development and application of state estimation methodology using ANN for urban electricity distribution systems in India”, held under the aegis of Indo-German Energy Program, Energy Transition with DISCOMs project implemented by GIZ on behalf of the Government of Germany in collaboration with three Delhi distribution utilities, BSES Rajdhani Power Ltd., BSES Yamuna Power Ltd., and TATA Power DDL, took place on 13 September 2021 virtually.

The workshop was conducted in the presence of Mr. Markus Wypior, Deputy Program Coordinator, Indo-German Energy Program, GIZ, Prof. Dr. Martin Braun, Director for Grid Planning and Operation, Fraunhofer IEE, Mr. Abhishek Ranjan, Head-DSM, Energy Analytics and Renewable, BSES Rajdhani Power Limited, Mr. Shrinjoy Bagchi, Head-Distribution Automation and Protection, TATA Power Delhi Distribution Limited, Mr. Sunil K Sharma, Senior Manager, BSES Yamuna Power Ltd., and other dignitaries from more than ten Indian DISCOMs. The result dissemination workshop was organised to showcase the results, findings, and to discuss the outcomes of the assignment with the key stakeholders i.e., Indian distribution utilities. The workshop also demonstrated the State Estimation Application developed under the project. The participants and the three Delhi DISCOMs, BRPL, BYPL, and TPDDL, who were the beneficiaries of this assignment, lauded the efforts of the project team and the technical experts for proposing an excellent state of the art methodology to accomplish ANN based State Estimation for better grid monitoring without increasing the measurement points in the network. The findings from this workshop also highlighted the future expansion scenarios of PV and how they will impact the various voltage and thermal loadings of network components. The DISCOMs acknowledged that such state-of the-art solutions act as the foundation stone and facilitate utilities in their grid automation journey.