Distributed Energy Management for Microgrids: When Privacy Preservation Meets Multiple Mechanisms

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Authors: Jinliang Liu, Enyu Ma, Lijuan Zha, Engang Tian
Cited by: 12
References: 31

Abstract

The increasing demand for privacy preservation of modern power grids is constantly expanding. A single privacy-preserving mechanism is gradually unable to cope with the problem of privacy leakage in distributed energy management of microgrids. To solve this problem, a multiple privacy preservation scheme for distributed energy management of microgrids is proposed. The proposed scheme integrates attenuated differential privacy (ADP) with fully homomorphic encryption (FHE), and is embedded within the distributed alternating direction method of multipliers (ADMM), with the objective of minimizing power generation costs while preserving sensitive information from distributed generators (DGs). The convergence of the algorithm under mixed noise and encryption mechanism is strictly proved by constructing an extended Lyapunov function, and multiple indicators are used to reflect the advantages of multiple privacy preservation mechanism in privacy-cost trade-off. The efficacy and scalability of the proposed scheme is verified by the simulations on IEEE 30-bus and 118-bus system. It is demonstrated by the simulation results that despite the additional time cost, the privacy preservation efficacy and economy of the proposed scheme are better than a single mechanism.

Fields of Study & Subjects

Microgrid Control and Optimization Smart Grid Security and Resilience Islanding Detection in Power Systems

Publication details

Journal / source
IEEE Transactions on Consumer Electronics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
72
Issue
1
Pages
1514–1523
Publication date
6 January 2026