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

Mukhatov A. Thao N.G.M. Do T.D.
February-2 2022 MDPI

Energies
2022 #15 Issue 4

This work presents a control scheme to control a grid-connected single-phase photovoltaic (PV) system. The considered system has four 250 W solar panels, a non-inverting buck-boost DC-DC converter, and a DC-AC inverter with an inductor-capacitor-inductor (LCL) filter. The control system aims to track and operate at the maximum power point (MPP) of the PV panels, regulate the voltage of the DC link, and supply the grid with a unity power factor. To achieve these goals, the proposed control system consists of three parts: An 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 a linear quadratic regulator (LQR) for grid-connected power. Based on fuzzy control and an 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 previous and present control methods. The designed control system settles quickly, which is critical for output stability. In addition, as compared to the backstepping approach used in our past study, the LQR technique is more resistant to sudden changes and disturbances. Furthermore, the backstepping method produces a 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.

Fuzzy control , Grid-connected PV system , Incremental conductance algorithm , Linear quadratic regulator , Maximum power point tracking , Unity power factor

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Department of Robotics and Mechatronics, School of Engineering and Digital Sciences Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
Graduate School of Engineering, Toyota Technological Institute, Nagoya, 468-8511, Japan

Department of Robotics and Mechatronics
Graduate School of Engineering

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