A novel adaptive fuzzy membership function tuning algorithm for robust control of a PV-based Dynamic Voltage Restorer (DVR). (August 2016)

• Record Type: Journal Article
• Authors: Nabipour, M.; Razaz, M.; Seifossadat, S.GH.; Mortazavi, S.S.
• Is Part Of: Engineering applications of artificial intelligence. Volume 53(2016:May)
• Page Start: 155
• Page End: 175
• Publication Date: 2016-08
• Subjects: DVR Dynamic Voltage Restorer -- FCL Fault Current Limiting -- CPD Custom Power-Electronic Device -- VCFC Voltage-Current Fault Compensating -- MKY Meyer-Kalman-Yakubovich -- SPR Strict Positive Real -- MIMO Multy-Input Multy-Output -- RMS Root Mean Square -- THD Total Harmonic Distortion -- max, min Maximum, Minimum -- PV Photovoltaic -- MPP Maximum Power Point -- MPPT Maximum Power Point Tracking -- OP Operation Point -- Di(j) Duty Cycle of The Ith(Jth) System -- IAE Integral of Absolute Error (IT -- TR Rising Time -- TS Settling Time -- PCC Point of Common Coupling; DVR -- Fuzzy logic control -- Adaptive -- Membership function tuning -- State observer -- PV-cell -- Voltage sag -- Voltage swell -- Harmonics; Engineering -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Ingénierie -- Informatique -- Périodiques; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; Artificial intelligence; Engineering -- Data processing; Expert systems (Computer science); Periodicals; 620.00285
• DOI: 10.1016/j.engappai.2016.04.007
• Languages: English
• ISSNs: 0952-1976

Abstract

Abstract: In this paper, a novel method to simultaneously tune the antecedent and consequent membership functions of an adaptive observer-based indirect fuzzy controller, is presented. Using the proposed computationally-light algorithm, the membership functions are dynamically tuned while the state variables and the nonlinearities of the system are estimated based on the plant's operation point. Moreover, perturbations are estimated using Lyapunov's principles along with stabilizing terms to achieve fast and robust performance. As a result, the proposed approach can be used to control systems with unknown state variables, state functions and control gains. In this regard, controlling the output of a PV 1 -based DVR 2 system to mitigate various power quality problems is presented as the main case-study in this paper. Moreover, to aid the DVR when acting as a FCL 3 device, a new approach in state variable selection is proposed. Based on the simulation results performed using the MATLAB-SIMULINK environment, superior performance of the proposed observer-based scheme over various cases of conventionally-tuned controllers are observed. The proposed approach also shows superior performance over conventional variable selection methods, specifically when dealing with power quality issues with current nature, such as downstream load-side short circuits.