Abstract:
This paper proposes a technique that enhances the reliability and environmental
sustainability of ship microgrids by implementing a hybrid microgrid configuration. Power
quality and system stability have been improved by focusing on eliminating the adverse
effects of load fluctuations on a DC bus voltage. So, a comprehensive control structure is
implemented which includes a Distribution Generator, Photovoltaic (PV) renewable
energy source, and battery-supercapacitor-based energy storage system. A Nonlinear
Adaptive Barrier Integral Super Twisting Sliding Mode Control (ABISTSMC) scheme
fulfills control objectives effectively. The global asymptotic stability of this system is
verified through Lyapunov stability analysis. PV maximum power points for optimal
energy extraction are obtained by implementing an artificial neural network. Balancing of
power resource allocation between generation and load is done by implementing a Rule Based Energy Management System. Various non-linear controller configurations i.e.
Integral Super Twisting Sliding Mode Control and Super Twisting Sliding Mode Control
have been simulated and evaluated against the proposed controller in MATLAB/Simulink
(2022b). ABISTSMC performs much better in reducing the current chattering of various
control phenomena and minimizing DC bus voltage fluctuation amplitudes. Real-time
Controller Hardware-in-the-loop experiments validate the proposed approach's robustness
and reliability in real-world operating conditions.
