Volume 21, Issue 4 (JIAEEE Vol.21 No.4 2024)
Journal of Iranian Association of Electrical and Electronics Engineers 2024, 21(4): 99-111 |
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Haghifam M, Hoseinpour M. Differentially Private Local Electricity Markets with Personalized Privacy Protection. Journal of Iranian Association of Electrical and Electronics Engineers 2024; 21 (4) :99-111
URL: http://jiaeee.com/article-1-1607-en.html
URL: http://jiaeee.com/article-1-1607-en.html
Tarbiat Modares University
Abstract: (915 Views)
Publicly releasing local electricity markets data brings a multitude of economic as well as technical and societal benefits. Moreover, public access to these data is instrumental for achieving transparency and more competition in local electricity markets. However, privacy-aware market participants have concerns about the leakage of their private information via releasing of the local electricity market outputs. This paper aims to design a mechanism for local electricity markets that provably guarantees the privacy of market participants and also reflects their privacy preferences by implementing differential privacy. First, the required randomization for achieving differential privacy is embedded in the optimization process of the market-clearing problem via noisy gradient ascent algorithm. Then, for providing personalized level of privacy protection, a subsampling mechanism over the input dataset of the market-clearing problem. In numerical studies, the inherent trade-off between the privacy protection and social welfare in the market is investigated under different privacy regimes.
Type of Article: Research |
Subject:
Power
Received: 2023/06/16 | Accepted: 2024/07/5 | Published: 2025/01/11
Received: 2023/06/16 | Accepted: 2024/07/5 | Published: 2025/01/11
Extended Abstract [PDF 278 KB] (16 Download)
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