Cyber Resilience of Micro-Grids

Información del proyecto

CRMG

Identificador del acuerdo de subvención: 101026657

DOI

10.3030/101026657

Proyecto finalizado el 18 Noviembre 2022

Fecha de la firma de la CE 14 Abril 2021

Fecha de inicio 1 Octubre 2021

Fecha de finalización 30 Septiembre 2023

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 224 933,76

Aportación de la UE

€ 224 933,76

Coordinado por

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
United Kingdom

Periodic Reporting for period 1 - CRMG (Cyber Resilience of Micro-Grids)

Período documentado: 2021-10-01 hasta 2023-09-30

Resumen del contexto y de los objetivos generales del proyecto

The microgrid is a small-scale power system consisting of distributed energy resources and local loads, which can operate independently or grid-connected, to increase system flexibility, resilience, and economics. As the control and operation functions in microgrids are achieved by communication infrastructures, it brings along cyber-security problems. The information manipulation and disruption in the control process will damage the secure and stable operation of the microgrid systems. In this project, we provide cyber-resilience analysis and enhancement methods for microgrids from the system and control perspective. The microgrid small-signal stability under cyber-attacks that aims to destabilize the system is analyzed. The data-driven cyber-resilient control strategy is developed based on adversarial deep reinforcement learning. The proposed research is important and timely, as the cyber resilience of the electricity grid is an emerging and urgent concern. The networked control system and its cyber-security of microgrids are important topics to be explored before large-scale applications in future power systems. The analysis and countermeasures in this project could contribute to the cyber-resilience of the electricity grid and future microgrid development in Europe.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

The project includes 6 work packages (WP1-WP6), which were originally carried out in a 24-month period. As the fellow accepted a faculty job offer, this project ends up with a 12-month period. The work packages regarding scientific and training parts are all compressed into one year. However, the core work is still accomplished. The WP1 is conducted to provide the modelling and analysis of MG under cyber-attack. The WP2 is conducted to provide the cyber resilience enhancement method by using deep reinforcement learning. As for the reduction of the original research plan and Covid-19 influence on laboratory entry, WP3 is changed to a co-simulation-based validation of the proposed method. In general, the technical content of this project is accomplished, where a cyber-resilience analysis and enhancement framework for microgrids has been established. There are one journal paper and one conference paper submission to report the results. The researchers have attended conferences and organized activities and webinars to increase the research impact.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

Through this CRMG project, the researcher has a deeper understanding of the stability, control, and security of electrical systems as well as model-based and data-driven control approaches. As interdisciplinary research of power systems, cyber-security, control, and machine learning, the deliverables, and publications of this project are expected to have a high impact on the research community and promote the emerging research on cyber-resilience of microgrids. The submitted paper has received very positive comments from the reviewers. Besides, the researcher has given talks at the CAP group of Imperial and IEEE IES Guangzhou Chapter to share the progress of this project. A special panel session has also been organized at IEEE PES GM 2022 to promote the development of this area. The researcher has established new collaborations and extended his network, which also contribute to the dissemination of this project.

Work packages and objectives