Abstract

We begin by introducing the fundamentals of electric grid operation in Section 10.2), to set the stage for understanding the complexities and data requirements of modern power systems. Next, we review the privacy challenges inherent in energy systems (Section 10.3) and discuss how the proliferation of advanced metering infrastructure raises concerns about unintended information disclosure. We then provide a mathematical model of power grids, in Section 10.4, which is essential for formulating optimal power flow problems. In Section 10.5, we focus on private DC optimal power flow data sets. We discuss the application of differential privacy to the DC-OPF problem, examining how to balance the need for data utility with the requirement to protect sensitive load information. Finally, we provide some remarks on the current state of research and future directions in integrating differential privacy into energy systems (Section 10.6). Our goal is to highlight the potential of differential privacy to enable secure and efficient operation of smart grids, encouraging further exploration and application of these techniques in the energy sector.