Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Linear Quadratic Regulator and Fuzzy Control for Grid-Connected Photovoltaic Systems

Version 1 : Received: 2 December 2021 / Approved: 3 December 2021 / Online: 3 December 2021 (09:49:16 CET)

How to cite: Mukhatov, A.; Thao, N.G.M.; Do, T.D. Linear Quadratic Regulator and Fuzzy Control for Grid-Connected Photovoltaic Systems. Preprints 2021, 2021120044 (doi: 10.20944/preprints202112.0044.v1). Mukhatov, A.; Thao, N.G.M.; Do, T.D. Linear Quadratic Regulator and Fuzzy Control for Grid-Connected Photovoltaic Systems. Preprints 2021, 2021120044 (doi: 10.20944/preprints202112.0044.v1).

Abstract

This work presents a control scheme to control the grid-connected single-phase photovoltaic (PV) system. The considered system has four 250W solar panels, a non-inverting buck-boost DC-DC converter, and DC-AC inverter with LCL filter. The control system aims to track and operate at the maximum power point (MPP) of PV panels, regulate the voltage of DC link, and supply the grid with a unity power factor. To well achieve these goals, the proposed control system consists of three parts, that are MPP tracking controller module with a fuzzy-based modified incremental conductance (INC) algorithm, a DC-link voltage regulator with a hybrid fuzzy proportional-integral (PI) controller, and a Current Controller module using the linear quadratic regulator (LQR) for grid-connected power. Based on fuzzy control and LQR, this work introduces a full control solution for grid-connected single-phase PV systems. The key novelty of this research is to analyze and prove that the newly proposed method is more successful in numerous aspects by comparing and evaluating the previous and present control methods. The designed control system settles quickly, which is critical for output stability. In addition, as compared to backstepping approach used in our past study, the LQR technique is more resistant to sudden changes and disturbances. Furthermore, backstepping method produces the larger overshoot, which has a detrimental impact on efficiency. Simulation findings under various weather conditions were compared to theoretical ones to indicate that the system can deal with variations in weather parameters.

Keywords

fuzzy control; grid-connected; incremental conductance algorithm; linear quadratic regulator; maximum power point tracking; photovoltaic system

Subject

ENGINEERING, Electrical & Electronic Engineering

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