Print Email Facebook Twitter Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market Title Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market Author Bellizio, Federica (Imperial College London) Xu, Wangkun (Imperial College London) Qiu, Dawei (Imperial College London) Ye, Yujian (Southeast University) Papadaskalopoulos, Dimitrios (Imperial College London) Cremer, Jochen (TU Delft Electrical Sustainable Energy; TU Delft Intelligent Electrical Power Grids) Teng, Fei (Imperial College London) Strbac, Goran (Imperial College London) Department Electrical Sustainable Energy Date 2022 Abstract Digitalization is one of the key drivers for energy system transformation. The advances in communication technologies and measurement devices render available a large amount of operational data and enable the centralization of such data storage and processing. The greater access to data opens up new opportunities for a more efficient and decentralized management of the energy system. At the distribution level of the energy system, local electricity markets (LEMs) provide new degrees of flexibility by trading and balancing the energy locally and offering ancillary services to the wider transmission and distribution system operators. Maximizing the grid impact from this flexibility calls for novel data analytics and artificial intelligence techniques to enhance the system's security and reduce the energy costs of local prosumers. At the same time, however, relying on data-based approaches increases the risk of cyberattacks, and robust countermeasures are, therefore, needed as an integral aspect of digitalization efforts. This article discusses the key role of centralized data analytics to fully benefit from the advantages of LEMs in terms of system's security enhancement and energy costs' reduction. Data-driven paradigms are investigated that allow for flexibility from decentralized markets, mitigate the physical security risks, and devise defensive strategies shielding the system from cyber threats. Subject Artificial intelligence (AI)Computational modelingComputer crimeControl systemscybersecuritydigitalizationlocal electricity markets (LEMs)Optimized production technologyPower system dynamicsReal-time systemsSecuritysystem security. To reference this document use: http://resolver.tudelft.nl/uuid:5930295f-509c-438a-8c14-fed8db0cfdec DOI https://doi.org/10.1109/JPROC.2022.3161053 Embargo date 2023-07-31 ISSN 0018-9219 Source Institute of Electrical and Electronics Engineers. Proceedings, 111 (7), 744-761 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2022 Federica Bellizio, Wangkun Xu, Dawei Qiu, Yujian Ye, Dimitrios Papadaskalopoulos, Jochen Cremer, Fei Teng, Goran Strbac Files PDF Transition_to_Digitalized ... Market.pdf 1.58 MB Close viewer /islandora/object/uuid:5930295f-509c-438a-8c14-fed8db0cfdec/datastream/OBJ/view