Distributed Privacy-Preserving Electric Vehicle Charging Control Based on Secret Sharing
Distributed Privacy-Preserving Electric Vehicle Charging Control Based on Secret Sharing
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DOI：
10.1016/j.epsr.2022.108357
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发表时间：
2021-10
期刊：
影响因子：
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通讯作者：
X. Huo;Mingxi Liu
中科院分区：
文献类型：
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作者：
X. Huo;Mingxi Liu
电动汽车（EV）协同充电控制已成为电网边缘资源（格尔）管理的关键组成部分。然而，客户的隐私仍然是大规模实施电动汽车充电控制的主要障碍。在本文中，我们开发了一个分布式的隐私保护EV充电控制协议的基础上秘密共享（SS），（1）实现可扩展性EV人口规模;（2）享有更高的计算效率相比，同态加密（HE）为基础的方法;（3）保护隐私的参与电动汽车对诚实，但好奇的对手和外部窃听。协作电动汽车充电控制制定，以实现夜间山谷填充和框架到投影梯度算法（PGA）的结构作为一个分布式优化问题。SS被集成到PGA中，以实现原始变量和对偶变量的安全更新。理论安全分析和模拟在一个住宅区进行证明隐私保护的保证以及所提出的隐私保护方法的有效性和效率。广义上，所提出的方法可以很容易地扩展到各种格尔控制应用。
Cooperative electric vehicle (EV) charging control has emerged as a key component in grid-edge resource (GER) management. However, customers’ privacy remains a major barrier to large-scale implementation of EV charging control. In this paper, we develop a distributed privacy-preserving EV charging control protocol based on secret sharing (SS) that (1) achieves scalability over EV population size; (2) enjoys higher computation efficiency compared to homomorphic encryption (HE) based methods; and (3) secures the privacy of the participating EVs against honest-but-curious adversaries and external eavesdroppers. The cooperative EV charging control is formulated to achieve overnight valley filling and framed into the projected gradient algorithm (PGA) structure as a distributed optimization problem. SS is integrated into PGA to achieve secure updates of both primal and dual variables. Theoretical security analyses and simulations in a residential area are conducted to prove the privacy preservation guarantee as well as the efficacy and efficiency of the proposed privacy preservation method. Broadly, the proposed method can be readily extended to various GER control applications.