Adaptive sliding mode control based on fuzzy logic for hybrid smart microgrid energy management system

Abstract

ABSTRACTIn this paper, an adaptive sliding mode controller (ASMC) based on fuzzy logic is applied to control hybrid smart microgrid power systems under uncertainty. The chattering effects can occur if not adjusted properly due to the sliding mode amplitude control law. The approximation of the ASMC law function is performed by Fuzzy logic, and chattering effects are reduced through a low pass filter. The Lyapunov theory proves the stability of the control system and is also applied to stabilise the system’s control mechanism. The hybrid micro-grid system operation, which consists of distribution generation, loads, PWM IGBT inverter and low pass filter, is simulated using MATLAB 2017b. The reference speed is compared with the hybrid microgrid real speed, which was 1.0 p.u. and gradually controlled through ASMC-fuzzy until the speed desired is achieved for power supply stability. A comparison of results between the simulated ASMC-Fuzzy and PI controller indicated a drastic reduction of THD, which satisfies the required ‘below 5% THD level according to IEEE 1547 standard’ required for operation.KEYWORDS: Hybrid micro-grid systemMATLAB/SIMULINKadaptive sliding mode controlfuzzy logic controllerTHDlow pass filter AcknowledgmentThe authors acknowledge the support received from the Energy and Sustainable Research Group (ESRG).Disclosure statementNo potential conflict of interest was reported by the author(s).Contribution statementConceptualisation: T.O. Araoye. Methodology: T.O. Araoye. Software: T.O. Araoye. Validation: E. C. Ashigwuike, S. A. Umar and D.B. Nnadi. Project Supervised by E. C. Ashigwuike and S. A. Umar. Writing Review and Editing: E. C. Ashigwuike, S. A. Umar and D.B. Nnadi; Project Administration: T.O. Araoye. Formal Analysis: T.O. Araoye Data curation: T.O. Araoye. Visualisation: T.O. Araoye; Writing – original draft preparation: T.O. Araoye.Credit authorshipAll authors carried out the analysis and contributed to writing the paper.Additional informationFundingThis research received no external funding.