A Homomorphic Encryption-Based Private Collaborative Distributed Energy Management System

被引：34

作者：

Cheng, Zheyuan ^{[1
]}

Ye, Feng ^{[2
]}

Cao, Xianghui ^{[2
]}

Chow, Mo-Yuen ^{[1
]}

机构：

[1] North Carolina State Univ, Dept Elect & Comp Engn, Raleigh, NC 27606 USA

[2] Southeast Univ, Sch Automat, Nanjing 210096, Peoples R China

来源：

IEEE TRANSACTIONS ON SMART GRID | 2021年 / 12卷 / 06期

基金：

美国国家科学基金会; 中国国家自然科学基金;

关键词：

Energy management; Privacy; Encryption; Optimization; Peer-to-peer computing; Convergence; Collaboration; Distributed optimization; energy management system; homomorphic encryption; optimal power flow; privacy; OPTIMAL POWER-FLOW; CONVEX RELAXATION; OPTIMIZATION; ALGORITHM; CAPACITORS;

D O I：

10.1109/TSG.2021.3091624

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This article investigates the privacy issues in the distributed energy management system (EMS) of smart distribution systems and microgirds. A novel private collaborative distributed energy management system (P-CoDEMS) is proposed to solve the AC optimal power flow (ACOPF) problem in a distributed and private fashion. The proposed P-CoDEMS algorithm is based on an original primal dual subgradient distributed optimization technique and a state-of-the-art fully homomorphic encryption algorithm. The convergence and optimality of the proposed P-CoDEMS algorithm are evaluated on four representative systems. Simulation results indicate that the proposed P-CoDEMS algorithm can accurately solve the ACOPF problem in a fully distributed way while preserving individual agent privacy.

引用

页码：5233 / 5243

页数：11

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