Grant: Alliance Grants
University of Saskatchewan
$120,000.00
Reliable and Secure Data-Sharing Architecture, Situational Awareness and Electrical-failure Modelling for SMRs
FY 2024-25
Summary
Safe and reliable operation of nuclear reactors requires the implementation of many redundant sensors that collect crucial and real-time information about the condition and status of these assets. Small Modular Reactors (SMRs) and microreactors will be similarly well instrumented and may be deployed in remote areas unattended by operators, which makes remote monitoring vital for successful operation. Intelligent sensor networks connecting different sensors to control rooms or remote operators via public internet or private networks can provide such requirements. Although using sensor networks provide advantages and desirable features, they can be susceptible to cyber-attacks due to their limited computational capabilities and ad-hoc operation. In addition, public trust and acceptance of nuclear power, in particular, SMRs and microreactors, can be gained by providing the public with real-time information on reactor performance and operating status data. Such access may be more critical in SMRs and microreactors because these systems may be deployed closer to urban centers or run remotely. Moreover, the advanced digital control rooms with SMR-based power plants will need to be designed with sensor data from various locations and synchronized measurements to get a real-time snapshot of the electric grid for nuclear operators. This proposal aims to address these issues by developing mechanisms to detect and predict cyber-attacks on SMR's sensor data and the connecting networks, creating a blockchain-based secure and trustworthy data-sharing architecture for public access. In addition, SMR's electrical side failure modelling is proposed to determine the overall reliability of the electric grid, the probability of brownout or blackout of the grids, and develop a grid restoration strategy when SMR is brought online again. A wide-area situational awareness system is proposed for state estimation, model validation, system well-being analysis and "what-if" type contingencies on the system, such as when SMR losses connection to the electric grid.
Program
Alliance Grants
Recipient
Location
Saskatchewan, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
580480-2022
Name nom
Gokaraju, Ramakrishna R
Department département
Electrical & Computer Engineering
Organization id
16
Institution établissement
University of Saskatchewan
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2022
Award amount
120000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
302
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Nuclear energy
Area of application fr
Énergie nucléaire
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
Reliable and Secure Data-Sharing Architecture, Situational Awareness and Electrical-failure Modelling for SMRs
Keywords
cybersecurity; data communications; nuclear engineering; power systems; smart grid
Application summary
Safe and reliable operation of nuclear reactors requires the implementation of many redundant sensors that collect crucial and real-time information about the condition and status of these assets. Small Modular Reactors (SMRs) and microreactors will be similarly well instrumented and may be deployed in remote areas unattended by operators, which makes remote monitoring vital for successful operation. Intelligent sensor networks connecting different sensors to control rooms or remote operators via public internet or private networks can provide such requirements. Although using sensor networks provide advantages and desirable features, they can be susceptible to cyber-attacks due to their limited computational capabilities and ad-hoc operation. In addition, public trust and acceptance of nuclear power, in particular, SMRs and microreactors, can be gained by providing the public with real-time information on reactor performance and operating status data. Such access may be more critical in SMRs and microreactors because these systems may be deployed closer to urban centers or run remotely. Moreover, the advanced digital control rooms with SMR-based power plants will need to be designed with sensor data from various locations and synchronized measurements to get a real-time snapshot of the electric grid for nuclear operators. This proposal aims to address these issues by developing mechanisms to detect and predict cyber-attacks on SMR's sensor data and the connecting networks, creating a blockchain-based secure and trustworthy data-sharing architecture for public access. In addition, SMR's electrical side failure modelling is proposed to determine the overall reliability of the electric grid, the probability of brownout or blackout of the grids, and develop a grid restoration strategy when SMR is brought online again. A wide-area situational awareness system is proposed for state estimation, model validation, system well-being analysis and "what-if" type contingencies on the system, such as when SMR losses connection to the electric grid.