Computer Sciences and Information Technology
Title : | Development of an Anomaly Analysis Method for Detecting and Identifying Cyber-Attack Types on the Range Space of the Jacobian Matrix |
Area of research : | Computer Sciences and Information Technology |
Focus area : | Cybersecurity |
Principal Investigator : | Dr. Anup Shukla, Indian Institute Of Technology (IIT) Jammu, Jammu and Kashmir |
Timeline Start Year : | 2024 |
Timeline End Year : | 2027 |
Contact info : | anup.shukla@iitjammu.ac.in |
Details
Executive Summary : | This proposal presents a robust distributed control strategy to enhance the stability margins of Synchronous Generators (SG) and Distributed Energy Storage Systems (DESS) connected to Interdependent Power, Control and Communication Networks (IPC2 N). This innovative approach improves the resilience of IPC2 N to cyber-attacks and enhances system stability. As cyber-attacks become more common and the Grid's communication systems become interconnected, improving Grid resilience is crucial for national security. The strategy consists of several cooperative agents, including a DESS, SG, a distributed controller, a Phasor Measurement Unit (PMU), and a State Estimator. The controller uses distributed nonlinear techniques to handle communication delays and uncertainties in plant parameters. The data used by the distributed controller can be corrupted by cyber-attacks or errors, affecting the quality of data. To improve system robustness, the data is pre-processed using an anomaly analysis based on a state estimator approach. This distributed state estimator uses the large number of sensors spread across the Power Grid to filter out errors and provide reliable data for controllers. In a practical IPC2 N, a communication infrastructure is needed to transfer sensor and control information among grid entities. The communication data management component optimizes reliability, accuracy, and speed to satisfy overall stability and resilience objectives. |
Total Budget (INR): | 6,60,000 |
Organizations involved