CONTROL STRATEGY FOR FDI ATTACK VIA GDA-BASED ADAPTIVE PID CONTROLLER IN INTERCONNECTED SYSTEM

Abstract

The power system is rapidly evolving into interconnected systems to meet energy demands. This results in a new global infrastructure for distributed systems from locally distributed systems. The power systems are categorized as network-based cyber-physical systems (NCPS). The sudden load changes in the system can cause performance deterioration. As a result, modern control aspects play a crucial role in the design of Load Frequency Control (LFC) for power systems. Due to NCPS, LFC functioning is highly vulnerable to cyber threats. This leads to a need to design a control strategy to control the system even if there is a cyber attack. This thesis proposes a simple LFC design for a single-area system. Further, a new PID controller based on the Gradient descent algorithm (GDA) was designed to detect and mitigate cyber-attacks. This thesis conducts a literature review that provides essential insights into key aspects of smart grids, including cyber security, load frequency control, renewable energy integration, advanced control strategies, and emerging technologies, enriching the discourse on these critical topics within the field. The proposed methodology is simulated in MATLAB for a single-area power system consisting of a single generating unit with a nonreheated turbine, wind turbine generator and PV module. This approach was compared with the traditional PID controller to show the dominance of the proposed controller over the traditional controller.