Fairness-Guaranteed DER Coordination Under False Data Injection Attacks

Abstract

The development of the Internet of Energy (IoE) is facilitated by the integration of information technology and the growing utilization of distributed energy resources (DERs). The usage of DERs, particularly photovoltaic systems and battery energy storage systems, in IoE has revealed the potential for DERs to be leveraged for grid control. To encourage DER owners to participate in grid management, grid operators must coordinate DERs with guaranteed fairness. However, the fairness of DER coordination is now endangered due to the growing concerns about cyber attacks on DERs. This article considers false data injection attacks (FDIAs), where attackers can tamper with measurements sent to the grid operator. We study the impact of FDIAs on the fairness of the DER coordination and develop an algorithm that guarantees fairness in the presence of FDIAs. DER coordination is formulated as an optimal power flow problem that reduces voltage fluctuations and attack impacts, increases DER revenues, and ensures system-wide fairness. To achieve fair DER coordination, we propose an analog definition of fairness for different DER types and incorporate the fairness measures into DER coordination. Additionally, a robust least absolute shrinkage and selection operator regularizer is designed to forecast the actual values of fraudulent measurements and mitigate the attack's impacts. Using a distribution feeder from the Southern California Edison system, we demonstrate the effectiveness of the proposed approach: fairness is assured both with and without attacks. Additionally, the proposed algorithm's efficiency is justified by an average execution time of 2.56 s.