Summary
GridTIMES explores innovative solutions for the accurate and up-to-date identification of power distribution network topology consequently a comprehensive grid monitoring. The EU priority of increasing the penetration of renewable energy sources in the power system has led to install a wide range of them into low voltage distribution grids. While the focus of power systems control and observation has traditionally been at the generation, transmission, and high voltage distribution levels, a need for accurate information of the network topology at the low voltage distribution network level is essential. Since generally, distribution system operators may not have an accurate and up-to-date knowledge of the distribution network topology, GridTIMES tackles this gap by proposing an identification methodology based on complex network theory using measurement data from metering infrastructures, end-users smart meter data, and GIS information. In addition to the grid topology identification, GridTIMES addresses other functionalities needed by distribution system operators such as detection of losses (non-technical, and technical losses), sustainable grid operation, system resiliency, renewable energy sources exploitation and etc. Moreover, GridTIMES determines the optimal status of switches for the optimal grid operation enabling distribution system operators to get a return on investment for their smart meters. Besides GridTIMES’s advances in the multidisciplinary research fields, it is expected to impact the EU power sector, the industry, and society as a whole, by contributing to the effective integration of renewable energy sources to smart grids in the industrial environments, and to the increase power systems' sustainability and reliability and the decrease of cost of distribution system operators consequently decrease electricity prices of end electricity users.
Unfold all
/
Fold all
More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101029711 |
| Start date: | 01-05-2022 |
| End date: | 30-04-2024 |
| Total budget - Public funding: | 191 149,44 Euro - 191 149,00 Euro |
Cordis data
Original description
GridTIMES explores innovative solutions for the accurate and up-to-date identification of power distribution network topology consequently a comprehensive grid monitoring. The EU priority of increasing the penetration of renewable energy sources in the power system has led to install a wide range of them into low voltage distribution grids. While the focus of power systems control and observation has traditionally been at the generation, transmission, and high voltage distribution levels, a need for accurate information of the network topology at the low voltage distribution network level is essential. Since generally, distribution system operators may not have an accurate and up-to-date knowledge of the distribution network topology, GridTIMES tackles this gap by proposing an identification methodology based on complex network theory using measurement data from metering infrastructures, end-users smart meter data, and GIS information. In addition to the grid topology identification, GridTIMES addresses other functionalities needed by distribution system operators such as detection of losses (non-technical, and technical losses), sustainable grid operation, system resiliency, renewable energy sources exploitation and etc. Moreover, GridTIMES determines the optimal status of switches for the optimal grid operation enabling distribution system operators to get a return on investment for their smart meters. Besides GridTIMES’s advances in the multidisciplinary research fields, it is expected to impact the EU power sector, the industry, and society as a whole, by contributing to the effective integration of renewable energy sources to smart grids in the industrial environments, and to the increase power systems' sustainability and reliability and the decrease of cost of distribution system operators consequently decrease electricity prices of end electricity users.Status
CLOSEDCall topic
MSCA-IF-2020Update Date
28-04-2024
Images
No images available.
Geographical location(s)
Structured mapping
