4.7 Article

Distributed Consensus-Based Economic Dispatch in Power Grids Using the Paillier Cryptosystem

Journal

IEEE TRANSACTIONS ON SMART GRID
Volume 12, Issue 4, Pages 3493-3502

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2021.3063712

Keywords

Power grids; Economics; Generators; Power generation; Quantization (signal); Australia; Privacy; Economic dispatch; power grids; consensus; encryption; quantization

Funding

  1. NSW Cyber Security Network, Australia

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This paper proposes a novel secure scheme for the consensus-based economic dispatch algorithm using the Paillier cryptosystem, ensuring network transmitted information protection and privacy of each node. The proposed scheme relies on solving the structural consensus problem with time-varying network weights, and includes strategies for transmitting encrypted information, generating network weights with randomness, and addressing practical issues such as quantization error and computation overflow/underflow. Performance in cost optimization and privacy-preserving is verified by rigorous theoretical analysis and numerical simulation.
Economic dispatch is a critical problem in operation of power grids. A consensus-based algorithm was recently proposed to solve the economic dispatch problem in a distributed manner. In this paper, we propose a novel secure scheme for the consensus-based economic dispatch algorithm using the Paillier cryptosystem. This secure scheme ensures that not only the network transmitted information is protected from external malicious party but also the privacy information of each node remains intact. The proposed secure scheme has two features. First, it relies on the solution to the so-called structural consensus problem with time-varying network weights. Second, it contains a strategy for transmitting encrypted information and generating network weights with randomness, as well as treatment of the practical issues like quantization error and computation overflow/underflow. The performance in terms of cost optimization and privacy-preserving is verified by rigorous theoretical analysis and numerical simulation.

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