Home Energy Management Systems: Operation and Resilience of Heuristics against Cyberattacks

• DOI: 10.48550/arxiv.2109.11627
• Publication Date: 2022-04-01
• Authors: Hussain, Hafiz Majid; Narayanan, Arun; Sahoo, Subham; Yang, Yongheng; Nardelli, Pedro H...; Blaabjerg, Frede
• Keywords: FOS: Computer and information sciences; Computer Science - Cryptography and Security; FOS: Electrical engineering, electronic engineering, information engineering; 0202 electrical engineering, electronic engineering, information engineering; Systems and Control (eess.SY); 02 engineering and technology; Electrical Engineering and Systems Science - Systems and Control; Cryptography and Security (cs.CR); 7. Clean energy

Internet of Things (IoT) and advanced communication technologies have demonstrated great potential to manage residential energy resources by enabling demand-side management (DSM). Home energy management systems (HEMSs) can automatically control electricity production and usage inside homes using DSM techniques. These HEMSs will wirelessly collect information from hardware installed in the power system and in homes with the objective to intelligently and efficiently optimize electricity usage and minimize costs. However, HEMSs can be vulnerable to cyberattacks that target the electricity pricing model. The cyberattacker manipulates the pricing information collected by a customer's HEMS to misguide its algorithms toward non-optimal solutions. The customer's electricity bill increases, and additional peaks are created without being detected by the system operator. This article introduces demand-response (DR)-based DSM in HEMSs and discusses DR optimization using heuristic algorithms. Moreover, it discusses the possibilities and impacts of cyberattacks, their effectiveness, and the degree of resilience of heuristic algorithms against cyberattacks. This article also opens research questions and shows prospective directions.