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

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This paper studies the privacy-preserving dis-tributed 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 pri-vacy-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 con-straints while preventing sensitive information from being eaves-dropped.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 exter-nal eavesdroppers.Finally,case studies illustrate the feasibility and validity of the developed algorithm.

Wei Chen、Guo-Ping Liu

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Center for Control Science and Technology,Southern University of Science and Technology,Shenzhen 518055,China

Shenzhen Key Laboratory of Control Theory and Intelligent Systems国家自然科学基金国家自然科学基金国家自然科学基金Guangdong Basic and Applied Basic Research Foundation of ChinaShenzhen Science and Technology Program of China

ZDSYS202203301618000016230321062173255621881012022 A1515110459RCBS20221008093348109

2024

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自动化学报(英文版)
中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDEI
ISSN:2329-9266
年,卷(期):2024.11(5)
Wei Chen,Guo-Ping Liu.Privacy-Preserving Consensus-Based Distributed Economic Dispatch of Smart Grids via State Decomposition[J].自动化学报(英文版),2024,11(5):1250-1261.DOI:10.1109/JAS.2023.124122.
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