Research Article

Modelling and Simulation of 1 MW Grid-Connected PV System Regulated by Sliding Mode Control, Model Predictive Control and PI Control

Volume: 35 Number: 4 December 1, 2022
EN

Modelling and Simulation of 1 MW Grid-Connected PV System Regulated by Sliding Mode Control, Model Predictive Control and PI Control

Abstract

The design and modeling of a 1 MW grid-connected multistage PV system consisting of four equal power rated PV arrays are presented. Two nonlinear control methods, namely sliding mode control and discrete time model predictive control with finite switching states are adopted as the current control scheme of the inverter together with the parameter update for the LCL filter for each control mode. The proposed controllers are based on coordinate transformation of the variables and use decoupling to improve control performance. The dynamic and steady-state performances of these controllers have been thoroughly evaluated and compared with the conventional decoupled PI current control scheme in Matlab Simulink environment under fixed and changing weather conditions. It is observed that the performances of the controller schemes are satisfactory and they give almost similar steady-state performances under given test conditions, although there are little changes observed during system starting.

Keywords

References

  1. [1] Guo, B., Su, M., Wang, H., “Observer-based second-order sliding mode control for grid-connected VSI with LCL-type filter under weak grid”, Electric Power System Research, 183: 106270, (2020).
  2. [2] Lekouaghet, B., Boukabou, A., Lourci, N., “Control of PV grid connected systems using MPC technique and different inverter configuration models”, Electric Power System Research, 154: 287-298, (2018).
  3. [3] Lakshmi, M., Hemamalini, S., “Decoupled control of grid connected photovoltaic system using fractional order controller”, Ain Shams Engineering Journal, 9(4): 927-937, (2018).
  4. [4] Behera, A.A., Swain, S., Mandavi, D.S., “Comparison of Performance Analysis of Different Control Structures”, Department of Electronics & Communication Engineering National Institute of Technology, Rourkela, (2012).
  5. [5] Rodríguez, J., Cortés, C., “Predictive control of Power Converters and Electrical Drives”, A Johan Wiley & Sons, Ltd., (2012).
  6. [6] Pimentel, S.P., Husev, O., Vinnikov, D., Stepenko, S., Kutt, L., Rodriguez, J., “A Comparison of a Discrete-Time PI and an Indirect MPC Current Controllers for a Single-Phase Grid-Connected Inverter Operating with Distorted Grid and Significant Computation Feedback Delay”, 2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference, Santos, Brazil, (2020).
  7. [7] Valencia-Paloma, G., Rosister, J.A., “Comparison between an auto-tuned PI controller, a predictive controller and a predictive functional controller in elementary dynamic systems”, Automatic Control and Systems Engineering, University of Sheffield, UK, 12: 966-974, (2011).
  8. [8] Aurobinda, B., Bidyadhar, S., Pravat, R., “Comparative Analysis of Sliding Mode Controller and Hysteresis Controller for Active Power Filtering in a Grid connected PV System”, International Journal of Emerging Electric Power Systems, 9(1): 20170044, (2018).

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

December 1, 2022

Submission Date

March 19, 2021

Acceptance Date

December 5, 2021

Published in Issue

Year 2022 Volume: 35 Number: 4

APA
Macit, E., & Vural, A. M. (2022). Modelling and Simulation of 1 MW Grid-Connected PV System Regulated by Sliding Mode Control, Model Predictive Control and PI Control. Gazi University Journal of Science, 35(4), 1433-1452. https://doi.org/10.35378/gujs.899799
AMA
1.Macit E, Vural AM. Modelling and Simulation of 1 MW Grid-Connected PV System Regulated by Sliding Mode Control, Model Predictive Control and PI Control. Gazi University Journal of Science. 2022;35(4):1433-1452. doi:10.35378/gujs.899799
Chicago
Macit, Ercan, and Ahmet Mete Vural. 2022. “Modelling and Simulation of 1 MW Grid-Connected PV System Regulated by Sliding Mode Control, Model Predictive Control and PI Control”. Gazi University Journal of Science 35 (4): 1433-52. https://doi.org/10.35378/gujs.899799.
EndNote
Macit E, Vural AM (December 1, 2022) Modelling and Simulation of 1 MW Grid-Connected PV System Regulated by Sliding Mode Control, Model Predictive Control and PI Control. Gazi University Journal of Science 35 4 1433–1452.
IEEE
[1]E. Macit and A. M. Vural, “Modelling and Simulation of 1 MW Grid-Connected PV System Regulated by Sliding Mode Control, Model Predictive Control and PI Control”, Gazi University Journal of Science, vol. 35, no. 4, pp. 1433–1452, Dec. 2022, doi: 10.35378/gujs.899799.
ISNAD
Macit, Ercan - Vural, Ahmet Mete. “Modelling and Simulation of 1 MW Grid-Connected PV System Regulated by Sliding Mode Control, Model Predictive Control and PI Control”. Gazi University Journal of Science 35/4 (December 1, 2022): 1433-1452. https://doi.org/10.35378/gujs.899799.
JAMA
1.Macit E, Vural AM. Modelling and Simulation of 1 MW Grid-Connected PV System Regulated by Sliding Mode Control, Model Predictive Control and PI Control. Gazi University Journal of Science. 2022;35:1433–1452.
MLA
Macit, Ercan, and Ahmet Mete Vural. “Modelling and Simulation of 1 MW Grid-Connected PV System Regulated by Sliding Mode Control, Model Predictive Control and PI Control”. Gazi University Journal of Science, vol. 35, no. 4, Dec. 2022, pp. 1433-52, doi:10.35378/gujs.899799.
Vancouver
1.Ercan Macit, Ahmet Mete Vural. Modelling and Simulation of 1 MW Grid-Connected PV System Regulated by Sliding Mode Control, Model Predictive Control and PI Control. Gazi University Journal of Science. 2022 Dec. 1;35(4):1433-52. doi:10.35378/gujs.899799

Cited By