An Intelligent Robust Control Framework for Stability Enhancement in Renewable Energy Powered Hybrid AC/DC Microgrids With Integrated Hydrogen Energy Systems
|更新时间:2026-10-08
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An Intelligent Robust Control Framework for Stability Enhancement in Renewable Energy Powered Hybrid AC/DC Microgrids With Integrated Hydrogen Energy Systems
An Intelligent Robust Control Framework for Stability Enhancement in Renewable Energy Powered Hybrid AC/DC Microgrids With Integrated Hydrogen Energy Systems
IET Energy Systems Integration2026年8卷第1期
作者机构:
1. Department of Electrical & Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi,Bangladesh
2. School of Engineering, Macquarie University, Sydney, New South Wales,Australia
Md Saiful Islam, Israt Jahan Bushra, Tushar Kanti Roy, 等. An Intelligent Robust Control Framework for Stability Enhancement in Renewable Energy Powered Hybrid AC/DC Microgrids With Integrated Hydrogen Energy Systems[J]. IET Energy Systems Integration, 2026,8(1).
Md Saiful Islam, Israt Jahan Bushra, Tushar Kanti Roy, et al. An Intelligent Robust Control Framework for Stability Enhancement in Renewable Energy Powered Hybrid AC/DC Microgrids With Integrated Hydrogen Energy Systems[J]. IET Energy Systems Integration, 2026, 8(1).
Md Saiful Islam, Israt Jahan Bushra, Tushar Kanti Roy, 等. An Intelligent Robust Control Framework for Stability Enhancement in Renewable Energy Powered Hybrid AC/DC Microgrids With Integrated Hydrogen Energy Systems[J]. IET Energy Systems Integration, 2026,8(1).DOI: 10.1049/esi2.70035.
Md Saiful Islam, Israt Jahan Bushra, Tushar Kanti Roy, et al. An Intelligent Robust Control Framework for Stability Enhancement in Renewable Energy Powered Hybrid AC/DC Microgrids With Integrated Hydrogen Energy Systems[J]. IET Energy Systems Integration, 2026, 8(1).DOI: 10.1049/esi2.70035.
An Intelligent Robust Control Framework for Stability Enhancement in Renewable Energy Powered Hybrid AC/DC Microgrids With Integrated Hydrogen Energy Systems
摘要
Abstract
Hybrid AC/DC microgrids that integrate photovoltaic
wind
battery and hydrogen energy systems are prone to DC-bus voltage fluctuations because of their low inertia and converter-based operation. This paper proposes a robust backstepping nonsingular fast terminal integral sliding mode controller that incorporates a virtual capacitor and a fractional-power reaching law to emulate synthetic inertia and improve transient damping. The controller coordinates energy exchange among distributed generation units and ensures precise DC-bus voltage regulation while managing bidirectional power transfer between AC and DC subgrids. An adaptive neuro-fuzzy inference system automatically tunes the controller gains in real time
and system stability is rigorously established through control Lyapunov functions. A detailed MATLAB/Simulink model
comprising PV
PMSG-based wind turbine
battery storage
electrolyser and PEM fuel cell
implements ANN-based MPPT to maximise renewable energy harvesting. The BNFTISMC is evaluated in three case studies against two benchmark controllers: the enhanced integral terminal SMC and the enhanced nonsingular terminal SMC. Under severe disturbances and varying load conditions
the proposed controller cuts overshoot by 75%–100%
reduces rise time by 58%–80% and completely eliminates mean absolute and mean squared errors. Processor-in-the-loop testing confirms zero steady-state error
whereas converter efficiency reaches 95.78% compared with 69.21% for the reference designs
demonstrating improved DC-bus voltage regulation
enhanced microgrid reliability and efficient real-time operation.