Project description
Advanced methodology aids in monitoring low-voltage distribution grids
The share of renewable energy sources in the energy mix is rapidly growing, but a great part of them is being integrated into low-voltage distribution grids. Unlike high-voltage distribution networks, accurate information regarding the topology of low-voltage distribution networks is scant. Funded by the Marie Skłodowska-Curie Actions programme, the GridTIMES project proposes a methodology based on complex network theory that utilises measurement data from metering infrastructures, grid monitoring data, end-user smart meter data and geographic information system data to enhance understanding of low-voltage distribution network topologies. Project methodology could also aid distribution system operators in detecting power losses and in retaining sustainable grid operation and resiliency.
Objective
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.
Fields of science
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineeringpower engineeringelectric power distribution
- natural sciencesmathematicspure mathematicstopology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networks
Keywords
Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
1070 Puidoux
Switzerland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.