Privacy-Preserving Robust Consensus for Distributed Microgrid Control Applications

Tu, Hao; Du, Yuhua; Yu, Hui; Lu, Xiaonan; Lukic, Srdjan

doi:10.1109/tie.2023.3274846

Privacy-Preserving Robust Consensus for Distributed Microgrid Control Applications

Journal Article · Mon May 15 00:00:00 EDT 2023 · IEEE Translations on Industrial Electronics

DOI:https://doi.org/10.1109/tie.2023.3274846· OSTI ID:2563386

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North Carolina State University, Raleigh, NC (United States)
Northwestern Polytechnical University, Shaanxi (China)
Purdue University, West Lafayette, IN (United States)

Consensus-based distributed control has been proposed for coordinating distributed energy resources (DERs) in microgrids (MGs). As one key component, distributed average observers are used to estimate the average of a group of reference signals (e.g., voltage, current, or power). State-of-the-art distributed average observers could lead to loss of privacy due to information exchange on the communication channels. The DERs' reference signals, which contain private information, could be inferred by an eavesdropper. In this article, a privacy-preserving distributed average observer is proposed that is based on robust consensus and uses the state decomposition method to preserve privacy. Compared to the existing methods, the proposed observer does not require the knowledge of the reference signal's derivative and gives accurate and smooth estimation, and is thus applicable for MG distributed control applications. A detailed analysis regarding the convergence and privacy properties of the proposed observer is presented. Here, the proposed observer is implemented on hardware controllers and validated in the context of distributed MG control applications through hardware-in-the-loop (HIL) tests.

View Accepted Manuscript (DOE)

Research Organization:: North Carolina State University, Raleigh, NC (United States)

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E); United States Army Corps of Engineers

Grant/Contract Number:: AR0001580

OSTI ID:: 2563386

Journal Information:: IEEE Translations on Industrial Electronics, Journal Name: IEEE Translations on Industrial Electronics Journal Issue: 4 Vol. 71; ISSN 0278-0046

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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