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

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 t...

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Main Authors: Muhammad Zubair Asif Bhatti, Abubakar Siddique, Waseem Aslam, Shahid Atiq, Hussain Sarwar Khan
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/3/1441
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author Muhammad Zubair Asif Bhatti
Abubakar Siddique
Waseem Aslam
Shahid Atiq
Hussain Sarwar Khan
author_facet Muhammad Zubair Asif Bhatti
Abubakar Siddique
Waseem Aslam
Shahid Atiq
Hussain Sarwar Khan
author_sort Muhammad Zubair Asif Bhatti
collection DOAJ
description 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.
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spelling doaj.art-6140f75e36764a1ea758d85304e50d652023-11-16T16:37:34ZengMDPI AGEnergies1996-10732023-02-01163144110.3390/en16031441Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied MicrogridsMuhammad Zubair Asif Bhatti0Abubakar Siddique1Waseem Aslam2Shahid Atiq3Hussain Sarwar Khan4Department of Electrical Engineering, Khwaja Fareed University of Engineering and Information Technology (KFUEIT), Rahim Yar Khan 64200, PakistanDepartment of Electrical Engineering, Khwaja Fareed University of Engineering and Information Technology (KFUEIT), Rahim Yar Khan 64200, PakistanDepartment of Electrical Engineering, University of Sargodha (UOS), Sargodha 40100, PakistanDepartment of Electrical Engineering, Khwaja Fareed University of Engineering and Information Technology (KFUEIT), Rahim Yar Khan 64200, PakistanDepartment of Electrical Engineering, University of Vaasa, 65200 Vaasa, FinlandThis 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.https://www.mdpi.com/1996-1073/16/3/1441distributed generation (DG)power regulation (PR)renewable energy sources (RES)model predictive control (MPC)switching frequency reduction (SFR)
spellingShingle Muhammad Zubair Asif Bhatti
Abubakar Siddique
Waseem Aslam
Shahid Atiq
Hussain Sarwar Khan
Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids
Energies
distributed generation (DG)
power regulation (PR)
renewable energy sources (RES)
model predictive control (MPC)
switching frequency reduction (SFR)
title Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids
title_full Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids
title_fullStr Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids
title_full_unstemmed Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids
title_short Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids
title_sort improved model predictive direct power control for parallel distributed generation in grid tied microgrids
topic distributed generation (DG)
power regulation (PR)
renewable energy sources (RES)
model predictive control (MPC)
switching frequency reduction (SFR)
url https://www.mdpi.com/1996-1073/16/3/1441
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