2021 journal article

A Homomorphic Encryption-Based Private Collaborative Distributed Energy Management System


By: Z. Cheng, F. Ye*, X. Cao* & M. Chow

author keywords: Energy management; Privacy; Encryption; Optimization; Peer-to-peer computing; Convergence; Collaboration; Distributed optimization; energy management system; homomorphic encryption; optimal power flow; privacy
Source: Web Of Science
Added: November 8, 2021

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.