Abstract:
In collaborative networked microgrids (NMs), distributed energy resources (DERs) utilize intelligent Internet of Things (IoT)-based controllers to coordinately support va...Show MoreMetadata
Abstract:
In collaborative networked microgrids (NMs), distributed energy resources (DERs) utilize intelligent Internet of Things (IoT)-based controllers to coordinately support various smart community functions. Meanwhile, privacy and security issues occur when IoT-based controllers interact with each other. This article presents a cryptography-based, programmable control (crypto-control) scheme to provably preserve the privacy of DERs while ensuring fast, flexible distributed control in NMs. Specifically, it makes the following contributions: 1) a programmable crypto-control-based NMs (PCNMs) architecture, where crypto-controllers are fully virtualized, is devised; 2) a novel dynamic encrypted weight addition (DEWA) approach, which integrates an enhanced partial homomorphic encryption and a secret sharing scheme, is devised to ensure privacy preserving of distributed controls; 3) the DEWA privacy-preserving property is mathematically analyzed; and 4) a real-time DEWA-based PCNMs testbed is deployed by incorporating DEWA, real software-defined networking switches, and IoT devices. The deployable crypto-control scheme is interfaced with and thoroughly verified in a Real-Time Digital Simulator environment, and the experimental results validate the effectiveness, benefits, and superiority of DEWA-based PCNMs. The inherent resilience of the DEWA-based PCNMs is validated by small signal stability analysis.
Published in: IEEE Internet of Things Journal ( Volume: 10, Issue: 9, 01 May 2023)
Funding Agency:
![Author image of Lizhi Wang](/mediastore/IEEE/content/freeimages/6488907/10106528/9844127/wang-3194838-small.gif)
Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA
Lizhi Wang (Member, IEEE) received the B.S. and M.S. degrees in automatic control from Zhejiang University, Hangzhou, China, in 2015 and 2018, respectively. He is currently pursuing the Ph.D. degree in electrical engineering with Stony Brook University, Stony Brook, NY, USA.
His current research interests include modeling and control of microgrid, cyber–physical security and privacy for electric power networks, and AI-enab...Show More
Lizhi Wang (Member, IEEE) received the B.S. and M.S. degrees in automatic control from Zhejiang University, Hangzhou, China, in 2015 and 2018, respectively. He is currently pursuing the Ph.D. degree in electrical engineering with Stony Brook University, Stony Brook, NY, USA.
His current research interests include modeling and control of microgrid, cyber–physical security and privacy for electric power networks, and AI-enab...View more
![Author image of Peng Zhang](/mediastore/IEEE/content/freeimages/6488907/10106528/9844127/zhang-3194838-small.gif)
Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA
Peng Zhang (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the University of British Columbia, Vancouver, BC, Canada, in 2009.
He is a Full Professor of Electrical and Computer Engineering, and a SUNY Empire Innovation Professor with Stony Brook University, Stony Brook, NY, USA. He has a joint appointment with the Brookhaven National Laboratory, Upton, NY, USA, as a Staff Scientist. Previousl...Show More
Peng Zhang (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the University of British Columbia, Vancouver, BC, Canada, in 2009.
He is a Full Professor of Electrical and Computer Engineering, and a SUNY Empire Innovation Professor with Stony Brook University, Stony Brook, NY, USA. He has a joint appointment with the Brookhaven National Laboratory, Upton, NY, USA, as a Staff Scientist. Previousl...View more
![Author image of Zefan Tang](/mediastore/IEEE/content/freeimages/6488907/10106528/9844127/tang-3194838-small.gif)
Interdisciplinary Science Department, Brookhaven National Laboratory, Upton, NY, USA
Zefan Tang (Member, IEEE) received the B.S. degree in mechanical engineering and automation from Zhejiang University, Hangzhou, China, in 2014, the M.S. degree in electrical and computer engineering from the University of Michigan–Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China, in 2017, and the Ph.D. degree in electrical engineering from Stony Brook University, Stony Brook, N...Show More
Zefan Tang (Member, IEEE) received the B.S. degree in mechanical engineering and automation from Zhejiang University, Hangzhou, China, in 2014, the M.S. degree in electrical and computer engineering from the University of Michigan–Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China, in 2017, and the Ph.D. degree in electrical engineering from Stony Brook University, Stony Brook, N...View more
![Author image of Yanyuan Qin](/mediastore/IEEE/content/freeimages/6488907/10106528/9844127/qin-3194838-small.gif)
Department of Computer Science, University of Connecticut, Storrs, CT, USA
Yanyuan Qin (Member, IEEE) received the B.S. degree in automation from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2011, the M.S. degree in control science and engineering from Shanghai Jiao Tong University, Shanghai, China, in 2014, and the Ph.D. degree in computer science from the Computer Science and Engineering Department, University of Connecticut, Storrs, CT, USA, in 2020.
His research inte...Show More
Yanyuan Qin (Member, IEEE) received the B.S. degree in automation from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2011, the M.S. degree in control science and engineering from Shanghai Jiao Tong University, Shanghai, China, in 2014, and the Ph.D. degree in computer science from the Computer Science and Engineering Department, University of Connecticut, Storrs, CT, USA, in 2020.
His research inte...View more
![Author image of Lizhi Wang](/mediastore/IEEE/content/freeimages/6488907/10106528/9844127/wang-3194838-small.gif)
Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA
Lizhi Wang (Member, IEEE) received the B.S. and M.S. degrees in automatic control from Zhejiang University, Hangzhou, China, in 2015 and 2018, respectively. He is currently pursuing the Ph.D. degree in electrical engineering with Stony Brook University, Stony Brook, NY, USA.
His current research interests include modeling and control of microgrid, cyber–physical security and privacy for electric power networks, and AI-enabled control algorithms and its application in power system.
Mr. Wang was a recipient of the Outstanding Reviewer Award for the IEEE Transactions on Power Systems in 2019 and the IEEE Transactions on Sustainable Energy in 2021.
Lizhi Wang (Member, IEEE) received the B.S. and M.S. degrees in automatic control from Zhejiang University, Hangzhou, China, in 2015 and 2018, respectively. He is currently pursuing the Ph.D. degree in electrical engineering with Stony Brook University, Stony Brook, NY, USA.
His current research interests include modeling and control of microgrid, cyber–physical security and privacy for electric power networks, and AI-enabled control algorithms and its application in power system.
Mr. Wang was a recipient of the Outstanding Reviewer Award for the IEEE Transactions on Power Systems in 2019 and the IEEE Transactions on Sustainable Energy in 2021.View more
![Author image of Peng Zhang](/mediastore/IEEE/content/freeimages/6488907/10106528/9844127/zhang-3194838-small.gif)
Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA
Peng Zhang (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the University of British Columbia, Vancouver, BC, Canada, in 2009.
He is a Full Professor of Electrical and Computer Engineering, and a SUNY Empire Innovation Professor with Stony Brook University, Stony Brook, NY, USA. He has a joint appointment with the Brookhaven National Laboratory, Upton, NY, USA, as a Staff Scientist. Previously, he was a Centennial Associate Professor and a Francis L. Castleman Associate Professor with the University of Connecticut, Storrs, CT, USA. He was a System Planning Engineer with the BC Hydro and Power Authority, Vancouver, BC, Canada, from 2006 to 2010. His research interests include AI-enabled smart grids, quantum-engineered power grids, networked microgrids, power system stability and control, cybersecurity, and formal methods and reachability analysis.
Dr. Zhang is an Individual Member of CIGRÉ. He is an Editor for the IEEE Transactions on Power Systems, IEEE Power and Energy Society Letters, and IEEE Journal of Oceanic Engineering.
Peng Zhang (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the University of British Columbia, Vancouver, BC, Canada, in 2009.
He is a Full Professor of Electrical and Computer Engineering, and a SUNY Empire Innovation Professor with Stony Brook University, Stony Brook, NY, USA. He has a joint appointment with the Brookhaven National Laboratory, Upton, NY, USA, as a Staff Scientist. Previously, he was a Centennial Associate Professor and a Francis L. Castleman Associate Professor with the University of Connecticut, Storrs, CT, USA. He was a System Planning Engineer with the BC Hydro and Power Authority, Vancouver, BC, Canada, from 2006 to 2010. His research interests include AI-enabled smart grids, quantum-engineered power grids, networked microgrids, power system stability and control, cybersecurity, and formal methods and reachability analysis.
Dr. Zhang is an Individual Member of CIGRÉ. He is an Editor for the IEEE Transactions on Power Systems, IEEE Power and Energy Society Letters, and IEEE Journal of Oceanic Engineering.View more
![Author image of Zefan Tang](/mediastore/IEEE/content/freeimages/6488907/10106528/9844127/tang-3194838-small.gif)
Interdisciplinary Science Department, Brookhaven National Laboratory, Upton, NY, USA
Zefan Tang (Member, IEEE) received the B.S. degree in mechanical engineering and automation from Zhejiang University, Hangzhou, China, in 2014, the M.S. degree in electrical and computer engineering from the University of Michigan–Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China, in 2017, and the Ph.D. degree in electrical engineering from Stony Brook University, Stony Brook, NY, USA, in 2021.
He is currently a Postdoctoral Researcher with the Interdisciplinary Science Department, Brookhaven National Laboratory, Upton, NY, USA. His current research interests include microgrids, quantum security, quantum computing, artificial intelligence, software-defined networking, and cyber–physical security.
Dr. Tang received the Best Paper Award at the 2020 IEEE Power and Energy Society General Meeting and the Best Presentation Recognition at the 2015 IECON. He was also a recipient of the Outstanding Reviewer Award for the IEEE Transactions on Power Systems in 2018.
Zefan Tang (Member, IEEE) received the B.S. degree in mechanical engineering and automation from Zhejiang University, Hangzhou, China, in 2014, the M.S. degree in electrical and computer engineering from the University of Michigan–Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China, in 2017, and the Ph.D. degree in electrical engineering from Stony Brook University, Stony Brook, NY, USA, in 2021.
He is currently a Postdoctoral Researcher with the Interdisciplinary Science Department, Brookhaven National Laboratory, Upton, NY, USA. His current research interests include microgrids, quantum security, quantum computing, artificial intelligence, software-defined networking, and cyber–physical security.
Dr. Tang received the Best Paper Award at the 2020 IEEE Power and Energy Society General Meeting and the Best Presentation Recognition at the 2015 IECON. He was also a recipient of the Outstanding Reviewer Award for the IEEE Transactions on Power Systems in 2018.View more
![Author image of Yanyuan Qin](/mediastore/IEEE/content/freeimages/6488907/10106528/9844127/qin-3194838-small.gif)
Department of Computer Science, University of Connecticut, Storrs, CT, USA
Yanyuan Qin (Member, IEEE) received the B.S. degree in automation from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2011, the M.S. degree in control science and engineering from Shanghai Jiao Tong University, Shanghai, China, in 2014, and the Ph.D. degree in computer science from the Computer Science and Engineering Department, University of Connecticut, Storrs, CT, USA, in 2020.
His research interests are in software-defined networking and wireless networks.
Yanyuan Qin (Member, IEEE) received the B.S. degree in automation from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2011, the M.S. degree in control science and engineering from Shanghai Jiao Tong University, Shanghai, China, in 2014, and the Ph.D. degree in computer science from the Computer Science and Engineering Department, University of Connecticut, Storrs, CT, USA, in 2020.
His research interests are in software-defined networking and wireless networks.View more