EconPapers    
Economics at your fingertips  
 

Privacy-preserving distributed state estimation for microgrids based on encrypted measurements under bit-rate constraints

Peifeng Zhao, Yangkai Chen, Derui Ding and Hongjian Liu

International Journal of Systems Science, 2025, vol. 56, issue 10, 2481-2498

Abstract: System measurements and monitoring with information security become vital for microgrids because of the vulnerability of communication networks. The focus of this paper is on privacy-preserving distributed state estimation with measurement data in the face of bit-rate constraints. A new dynamic encryption mechanism designed based on time-varying linear transformations is created to facilitate the encryption of measurements of microgrids. In light of the proposed encryption rule combined with bit-rate constraints, an iterative recursive scheme in a distributed way, receiving the desired estimator gains, is proposed by optimising the upper bound of the estimation error covariance. In addition, the impact of the allocated bit rate is made available to distributed state estimators, and the privacy of encryption strategies adopted is systematically evaluated. Lastly, an engineering-based method is devised to find the linear transformation matrix for a simplified encryption rule. Simulation experiments validate the significant advantages of the established state estimator.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2024.2448773 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:56:y:2025:i:10:p:2481-2498

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20

DOI: 10.1080/00207721.2024.2448773

Access Statistics for this article

International Journal of Systems Science is currently edited by Visakan Kadirkamanathan

More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-07-02
Handle: RePEc:taf:tsysxx:v:56:y:2025:i:10:p:2481-2498