FRACTIONAL-ORDER HYPERCHAOTIC MULTI-SWITCHING SYNCHRONIZATION FOR SECURE SIGNAL TRANSMISSIONS IN RENEWABLE ENERGY MICROGRIDS

Abstract

Renewable energy microgrids have emerged as key platforms for decentralised electricity generation, intelligent energy management, and sustainable power delivery. However, integrating solar photovoltaic systems, wind energy conversion systems, battery energy storage, power electronic converters, sensors, and communication networks introduces highly nonlinear dynamics, intermittent power fluctuations, communication uncertainties, and cyber-physical security vulnerabilities. These challenges intensify when communication channels transmit sensitive monitoring, protection, and control signals and are exposed to disturbances and malicious attacks. This paper proposes a fractional-order hyperchaotic multi-switching synchronization framework for secure signal transmission in renewable energy microgrids. The proposed approach integrates fractional-order calculus, hyperchaotic dynamics, nonlinear control, multi-switching synchronization, Lyapunov stability theory, renewable microgrid disturbance modelling, and hyperchaotic signal masking to enhance communication security and system reliability. We formulate three fractional-order hyperchaotic drive systems and one controlled response system to represent secure communication dynamics. We construct a novel multi-switching synchronization error structure to synchronise the response states with selected combinations of the drive-system states. We systematically derive nonlinear control laws and incorporate them into the error dynamics to guarantee asymptotic convergence of the synchronization errors. We rigorously establish the stability of the resulting closed-loop system using Lyapunov stability theory. MATLAB simulations validate the effectiveness of the proposed framework through state-variable responses, synchronization error convergence, Lyapunov function convergence, approximate Lyapunov exponent analysis, phase portraits, drive-response synchronization comparisons, renewable microgrid power fluctuation, encrypted hyperchaotic signal behaviour, and original–recovered signal reconstruction. The simulation results demonstrate robust synchronization performance, effective nonlinear signal masking, enhanced communication security, and reliable secure signal transmission for renewable energy microgrid networks.