Project description DEENESFRITPL Smart grid technology to monitor power quality In recent years, smart grid technology has featured increasingly in private life as well as industrial processes. This has led to a boost in research on and improvement of smart grids, with general awareness also increasing. Despite this, there is a lack of well-developed smart grid technologies, due to their slow rate of acceptance. One of the existing challenges is the inability to trace the source of power quality issues. The EU-funded ARMOUR project aims to tackle these problems by researching smart grid technologies, and with the assistance of data collected from forerunners like DEPsys, developing a technology that will assist with the prevention and diagnosis of such power quality issues. Show the project objective Hide the project objective Objective General awareness about the smart grid technologies has improved in the last decade due to various energy liberalization actions taken by the European Union. However, the lack of well-developed technologies, has been main cause of slow acceptance of smart grids. This calls for the identification of unexplored research areas in smart grids. Positive outcomes of the research can help in laying down new and well-defined standards for the smart grids and associated intelligent technologies. A convenient and easily integrable product can also help in encouraging various distribution system operators to accept the new technologies. Massive amount of data is already being collected from the distribution networks using smart meters. Rapid advancements in machine learning research have opened up new avenues for data utilization in smart grid. Forerunners like DEPsys (a smart grid technology company based in Switzerland), have now simplified the distribution system data for further analysis and research. A critical concern raised by DEPsys customers, is their inability to trace the source of power quality issues in the distribution network, which in-turn leads to both energy and economic losses over time. This project builds up on existing infrastructure of DEPsys and aims to be an AMROUR (by improving robustness) for distribution networks against power quality events. The main objectives are: (i) leveraging machine learning for condition monitoring and tracing power quality events, and (ii) to develop a smart grid technology which assists the distribution system operators in prevention and diagnosis of power quality events. Fields of science natural sciencescomputer and information sciencesartificial intelligencemachine learning Keywords Smart grids Power quality Power distribution networks Machine learning Signal Processing GridEye Condition monitoring Detection Prediction Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2019 - Individual Fellowships Call for proposal H2020-MSCA-IF-2019 See other projects for this call Funding Scheme MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinator DEPSYS SA Net EU contribution € 191 149,44 Address ROUTE DU VERNEY 20 B 1070 Puidoux Switzerland See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Schweiz/Suisse/Svizzera Région lémanique Vaud Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 191 149,44
