Project description
Microgrids cyberthreats investigation
The cyber resilience of the microgrid (MG) systems represents a rising concern in EU countries. The EU-funded CRMG project will investigate the cyberthreat to electricity grids from a system and control perspective. The project will study the MGs with distributed secondary control challenged by communication latency and denial-of-service attacks to provide comprehensive analysis and countermeasures for this cyberattack scenario. CRMG will develop and analyse the system model and deliver a model-based resilient framework to reduce the influence of cyberattacks. The project will also propose a data driven cyber resilient control based on deep reinforcement learning for optimal online control of MGs under unknown attack scenarios and conduct the controller hardware-in-the-loop experiment for validation.
Objective
The data manipulation and disruption in the energy service and control process will damage the stable and secure operation of the microgrid (MG) systems. This proposal, cyber resilience of MGs (CRMG), investigates this problem from the system and control perspective. In particular, the MGs with distributed secondary control challenged by communication latency and denial-of-service (DoS) attacks will be studied. The objective is to provide holistic analysis and countermeasures for MGs under this cyber-attack scenario. The system model will be developed and analysed, while a model-based resilient framework to mitigate the influence of cyber-attacks will be provided. Besides, a data-driven cyber-resilient control based on deep reinforcement learning (DRL) will be proposed to provide online optimal control of MGs under unknown attack scenarios. The controller hardware-in-the-loop (HIL) experiment will be conducted to provide a realistic validation of the proposed method.
The CRMG project will bridge the research limitations and provide solutions for cyber-resilience enhancement of MGs. The proposed research is important and timely, as the cyber-resilience of the electricity grid is an emerging and urgent concern for many European countries. The rapid development of renewable energy and IoT technologies transform the traditional power systems into distributed power and energy systems. The analysis and countermeasures of MGs under cyber-attacks will be investigated from system and control perspective, which can create both scientific and practical values. A software package with the proposed control tools will be provided, which includes a resilient framework to protect the MG from communication malfunctions by attackers, and a data-driven controller to enhance the system resilience. The research outcome would contribute to the cyber-resilience of the electricity grid and future MG development in Europe.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences internet internet of things
- engineering and technology environmental engineering energy and fuels renewable energy
- natural sciences computer and information sciences artificial intelligence machine learning reinforcement learning
- natural sciences computer and information sciences software software applications simulation software
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
SW7 2AZ London
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.