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Grant: Discovery Grants Program - Individual

Carleton University

$56,000.00

Cyber-Physical Approaches for Attack Detection and Mitigation in Secondary Control Systems of Microgrids

FY 2024-25

Summary
To facilitate the rapidly increasing penetration of renewable-based distributed generations in power distribution systems, microgrids which can operate independently or in conjunction with their main distribution grids have been implemented. A microgrid has a hierarchical control structure including primary control, secondary control and tertiary control. For the seamless re-connection and disconnection of a microgrid to the main grid, voltage and frequency deviations have to be removed by secondary control which can be designed in either centralized or distributed structure. Both the centralized and distributed secondary control in microgrids involve the exchange of measurements and control signals among controllers through open networks. While supporting the data transmission in microgrids, these open networks also expose microgrids' secondary control systems to cyber attacks. The consequences of malicious attacks on power systems could result in large-scale blackouts and seriously affect human beings and the environment. To secure control systems of smart grids from cyber attacks, technical challenges on developing defense-in-depth security approaches for smart grids are still wide open, such as a deep understanding the interaction of cyber-system events and power system dynamics, new intrusion detection mechanisms and advanced mitigation approaches. The proposed research is to develop new cyber-physical solutions to these cyber security challenges in microgrid secondary control systems. The cyber-physical solutions will leverage a deep understanding of the intertwining relationship of cyber-system actions and physical-system dynamics in microgrids. The proposed cyber-physical approaches for attack detection and mitigation will help to improve the resiliency of electrical power systems (specifically microgirds) to cyber attacks and thus ensure their safe operation. This research could also bring benefits to the cyber security industry of smart grids in Canada by commercializing the proposed attack detection and mitigation algorithms as innovative intrusion detection and mitigation systems. Highly qualified engineers and researchers with multidisciplinary knowledge including control engineering, information technology and power systems will be trained for building stronger smart grids for Canada throughout this program.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2019-06312
Name nom
Liu, Shichao
Department département
Department of Electronics
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2019
Award amount
56000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
513
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Electrical and electronic machinery and equipment (including computer hardware)
Area of application fr
Machinerie et équipement électriques et électroniques (y compris matériel informatique)
Research subject code
2501
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Power systems
Research subject fr
Réseaux électriques
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Cyber-Physical Approaches for Attack Detection and Mitigation in Secondary Control Systems of Microgrids
Keywords
smart grids; control systems; intrusion detection and prevention; power system stability; design and analysis of systems; modeling and applications; detection and estimation theory; microgrids; cyber-physical system; stochastic hybrid system
Application summary
To facilitate the rapidly increasing penetration of renewable-based distributed generations in power distribution systems, microgrids which can operate independently or in conjunction with their main distribution grids have been implemented. A microgrid has a hierarchical control structure including primary control, secondary control and tertiary control. For the seamless re-connection and disconnection of a microgrid to the main grid, voltage and frequency deviations have to be removed by secondary control which can be designed in either centralized or distributed structure. Both the centralized and distributed secondary control in microgrids involve the exchange of measurements and control signals among controllers through open networks. While supporting the data transmission in microgrids, these open networks also expose microgrids' secondary control systems to cyber attacks. The consequences of malicious attacks on power systems could result in large-scale blackouts and seriously affect human beings and the environment. To secure control systems of smart grids from cyber attacks, technical challenges on developing defense-in-depth security approaches for smart grids are still wide open, such as a deep understanding the interaction of cyber-system events and power system dynamics, new intrusion detection mechanisms and advanced mitigation approaches. The proposed research is to develop new cyber-physical solutions to these cyber security challenges in microgrid secondary control systems. The cyber-physical solutions will leverage a deep understanding of the intertwining relationship of cyber-system actions and physical-system dynamics in microgrids. The proposed cyber-physical approaches for attack detection and mitigation will help to improve the resiliency of electrical power systems (specifically microgirds) to cyber attacks and thus ensure their safe operation. This research could also bring benefits to the cyber security industry of smart grids in Canada by commercializing the proposed attack detection and mitigation algorithms as innovative intrusion detection and mitigation systems. Highly qualified engineers and researchers with multidisciplinary knowledge including control engineering, information technology and power systems will be trained for building stronger smart grids for Canada throughout this program.
Carleton University - $56,000 Grant (2024-25) | Canada Spends