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Volume 16
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Article

Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids

by
Muhammad Zubair Asif Bhatti
1,
Abubakar Siddique
1,
Waseem Aslam
2,*,
Shahid Atiq
1 and
Hussain Sarwar Khan
3
1
Department of Electrical Engineering, Khwaja Fareed University of Engineering and Information Technology (KFUEIT), Rahim Yar Khan 64200, Pakistan
2
Department of Electrical Engineering, University of Sargodha (UOS), Sargodha 40100, Pakistan
3
Department of Electrical Engineering, University of Vaasa, 65200 Vaasa, Finland
*
Author to whom correspondence should be addressed.
Energies 2023, 16(3), 1441; https://doi.org/10.3390/en16031441
Submission received: 21 December 2022 / Revised: 20 January 2023 / Accepted: 26 January 2023 / Published: 1 February 2023
(This article belongs to the Special Issue Advanced Operation, Control, and Optimization of Grid-Integrated Renewable Energy Systems)
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Abstract

This research proposes an improved finite control set direct power model predictive control method (FCS-DPMPC) for grid-tie distributed generation (DG). FCS-DPMPC predicts the system outcomes using the system model. During the next sampling time, a voltage vector is defined using the cost function to minimize the power ripple, consequently allowing flexibility for power regulation. Furthermore, the impact of implementing a one-step delay is studied and compensated through a model forecast pattern. In addition, a new two-step horizon technique has been developed to minimize switching frequency and computation burden. Simulation results for single DG and parallel operated DGs in a grid-tie manner confirm the effectiveness of the suggested control strategy, which signifies that this is an appropriate approach for distributed generation in microgrids.
Keywords: distributed generation (DG); power regulation (PR); renewable energy sources (RES); model predictive control (MPC); switching frequency reduction (SFR) distributed generation (DG); power regulation (PR); renewable energy sources (RES); model predictive control (MPC); switching frequency reduction (SFR)

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MDPI and ACS Style

Bhatti, M.Z.A.; Siddique, A.; Aslam, W.; Atiq, S.; Khan, H.S. Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids. Energies 2023, 16, 1441. https://doi.org/10.3390/en16031441

AMA Style

Bhatti MZA, Siddique A, Aslam W, Atiq S, Khan HS. Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids. Energies. 2023; 16(3):1441. https://doi.org/10.3390/en16031441

Chicago/Turabian Style

Bhatti, Muhammad Zubair Asif, Abubakar Siddique, Waseem Aslam, Shahid Atiq, and Hussain Sarwar Khan. 2023. "Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids" Energies 16, no. 3: 1441. https://doi.org/10.3390/en16031441

APA Style

Bhatti, M. Z. A., Siddique, A., Aslam, W., Atiq, S., & Khan, H. S. (2023). Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids. Energies, 16(3), 1441. https://doi.org/10.3390/en16031441

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