A Privacy-preserving Energy Management System Based on Homomorphic Cryptosystem for IoT-enabled Active Distribution Network  

作　　者：Qian Hu Siqi Bu Wencong Su Vladimir Terzija 

机构地区：[1]the Department of Physics,Hong Kong Baptist University,Hong Kong,China [2]the Department of Electrical and Electronic Engineering,Shenzhen Research Institute,The Hong Kong Polytechnic University,Hong Kong,China [3]the Department of Electrical and Computer Engineering,University of Michigan-Dearborn,Dearborn,MI 48128,USA [4]the School of Engineering,Newcastle University,Newcastle,UK

出　　处：《Journal of Modern Power Systems and Clean Energy》2024年第1期167-178,共12页现代电力系统与清洁能源学报（英文）

基　　金：supported by the National Natural Science Foundation of China(No.52077188);Guangdong Science and Technology Department(No.2019A1515011226);Hong Kong Research Grant Council(No.15219619).

摘　　要：Active distribution network(ADN),as a typically cyber-physical system,develops with the evolution of Internet of Things(IoTs),which makes the network vulnerable to cybersecurity threats.In this paper,the eavesdropping attacks that lead to privacy breaches are addressed for the IoT-enabled ADN.A privacy-preserving energy management system(EMS)is proposed and empowered by secure data exchange protocols based on the homomorphic cryptosystem.During the information transmission among distributed generators and load customers in the EMS,private information including power usage and electricity bidding price can be effectively protected against eavesdropping attacks.The correctness of the final solutions,e.g.,optimal market clearing price and unified power utilization ratio,can be deterministically guaranteed.The simulation results demonstrate the effectiveness and the computational efficiency of the proposed homomorphically encrypted EMS.

关 键 词：Eavesdropping attack energy management system homomorphic cryptosystem Internet of Things(IOTs) active distribution network(ADN) PRIVACY-PRESERVING 

分 类 号：TM732[电气工程—电力系统及自动化]