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Volume 11 Issue 5
May  2024

IEEE/CAA Journal of Automatica Sinica

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W. Chen and  G.-P. Liu,  “Privacy-preserving consensus-based distributed economic dispatch of smart grids via state decomposition,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 5, pp. 1250–1261, May 2024. doi: 10.1109/JAS.2023.124122
Citation: W. Chen and  G.-P. Liu,  “Privacy-preserving consensus-based distributed economic dispatch of smart grids via state decomposition,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 5, pp. 1250–1261, May 2024. doi: 10.1109/JAS.2023.124122

Privacy-Preserving Consensus-Based Distributed Economic Dispatch of Smart Grids via State Decomposition

doi: 10.1109/JAS.2023.124122
Funds:  This work was supported in part by Shenzhen Key Laboratory of Control Theory and Intelligent Systems (ZDSYS20220330161800001), the National Natural Science Foundation of China (62303210, 62173255, 62188101), the Guangdong Basic and Applied Basic Research Foundation of China (2022A1515110459), and the Shenzhen Science and Technology Program of China (RCBS20221008093348109)
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  • This paper studies the privacy-preserving distributed economic dispatch (DED) problem of smart grids. An autonomous consensus-based algorithm is developed via local data exchange with neighboring nodes, which covers both the islanded mode and the grid-connected mode of smart grids. To prevent power-sensitive information from being disclosed, a privacy-preserving mechanism is integrated into the proposed DED algorithm by randomly decomposing the state into two parts, where only partial data is transmitted. Our objective is to develop a privacy-preserving DED algorithm to achieve optimal power dispatch with the lowest generation cost under physical constraints while preventing sensitive information from being eavesdropped. To this end, a comprehensive analysis framework is established to ensure that the proposed algorithm can converge to the optimal solution of the concerned optimization problem by means of the consensus theory and the eigenvalue perturbation approach. In particular, the proposed autonomous algorithm can achieve a smooth transition between the islanded mode and the grid-connected mode. Furthermore, rigorous analysis is given to show privacy-preserving performance against internal and external eavesdroppers. Finally, case studies illustrate the feasibility and validity of the developed algorithm.

     

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    Highlights

    • An autonomous consensus-based DED algorithm with a constant step size is developed, which can realize smooth transitions between the grid-connected and islanded modes of smart grids
    • A state-decomposition-based scheme is incorporated into the framework of the proposed DED algorithm, which is privacy-preserving against internal and external eavesdroppers
    • A comprehensive analysis is provided in terms of the convergence and the optimality of the proposed DED algorithm with and without state decomposition

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