Cyber-Physical Systems Ensure Energy Continuity During Grid Cyberattacks
Abstract
In the present day, where everything is linked, energy grids can be vulnerable to hacks, which could disrupt power supply to major parts of our infrastructure. Service outages and money losses can happen when cyberattacks, such as Denial of Service and data tampering, disrupt communication within the grid and threaten public safety. Since current power grids aren’t well protected, they struggle to deal with cyber risks as they occur. This proposal introduces Cyber-Physical Systems (CPS) to increase how well the energy grid copes with cyberattacks. This proposed CPS model uses real-time monitoring, adaptive control, and fault-tolerant systems to preserve stable power flow under cyber disruptions. Machine learning detects incoming threats, logic suggests altering power routes, and a fault-location system stops attackers, all while keeping energy uninterrupted. The study’s simulation ran many times, and the solution kept the power supply up through over 95% of the tested cyberattacks. Rapidly detecting and recovering power without errors proves the system is effective. This work demonstrates that CPS can guard energy grids from cyber threats, providing a promising strategy for keeping critical infrastructure safe and providing uninterrupted power.