Preserving Privacy of AC Optimal Power Flow Models in Multi-Party Electric Grids

The electric power grid is owned and operated by many competing providers who do not want to reveal their sensitive information to other providers. This competitive environment motivates the use of a third-party (cloud-computing) platform that combines information from each provider and jointly opti...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2016-07, Vol.7 (4), p.2050-2060
Main Authors: Wu, Dan, Lesieutre, Bernard C., Ramanathan, Parameswaran, Kakunoori, Bhuvana
Format: Article
Language:English
Subjects:
Alternating current
Computation
Computational modeling
Cryptography
Electric grid
Electric power systems
Information dissemination
Load flow
Mathematical model
optimal power flow
Optimization
Platforms
Power flow
Privacy
privacy and security
Security
Smart grid
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Summary:The electric power grid is owned and operated by many competing providers who do not want to reveal their sensitive information to other providers. This competitive environment motivates the use of a third-party (cloud-computing) platform that combines information from each provider and jointly optimizes resources in the entire grid. Since the power system structure and component values are confidential, the third-party computing platform must be either absolutely secure or information needs to be masked before sharing with the third party. In this paper, we propose an approach to obfuscate the sensitive information and solve the multi-party AC optimal power flow problem in a shared computing platform. The initial obfuscation is separately performed by each party so that sensitive information is masked from the third party and all other participants.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2016.2544179