Publication

Abstract : This paper investigates IoT-enabled microgrid systems that are vulnerable to deception attacks using a finite-time distributed state estimation-based control approach. To enhance the intelligence of the control system operation, an IoT-based energy monitoring system is implemented within the microgrid to track real-time data from renewable energy sources. Given the openness of the communication network, it is assumed that de-ception attacks may occur during measurements. First, the state-space equation for the IoT-enabled islanded microgrid system is developed. A novel distributed state estimator framework is then proposed based on multiple sensor measurements. Subsequently, a state estimation-based centralized controller is developed. By augmenting microgrid system, estimator, controller equation the resulting control system is formulated. Using Lyapunov technique and finite-time stability analysis the required stability conditions are defined as linear matrix inequalities. The illustrative numerical example is presented using MATLAB Simulink to validate the effectiveness and advantages of the proposed control algorithm.