Cyber-Physical Attack Detection in PV-Connected Power Grids Using Deep Q-Networks
๐ก️ Reinforcing the Grid: Detecting Cyber-Physical Attacks in PV Systems with DQN As our distribution power grids evolve into decentralized, "smart" ecosystems, the integration of Photovoltaic (PV) systems has moved from a luxury to a technical necessity. However, this transition comes with a massive "attack surface." ๐ The interdependency between the physical layer (inverters, transformers) and the cyber layer (SCADA, smart meters) makes these grids vulnerable to sophisticated Cyber-Physical Attacks (CPAs) . For researchers and technicians, the challenge isn't just detecting an attack; it’s doing so within a high-dimensional data environment where traditional rule-based systems simply buckle under the noise. ๐ ๐ง The Shift to High-Dimensional Data-Driven Defense In a modern PV-connected distribution grid, every inverter and sensor is a data point. When we talk about "high-dimensional data," we are referring to the simultaneous tracking of voltage...