Modeling and Stability Analysis of Distributed Secondary Control Scheme for Stand-Alone DC Microgrid Applications
Stand-alone DC microgrids have multiple distributed generation (DG) sources that meet the required demand (load) by using droop control to achieve load (current) sharing between the DGs. The use of droop control leads to a voltage drop at the DC bus. This paper presents a distributed secondary contr...
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MDPI AG
2022-07-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/15/15/5411 |
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author | Anuoluwapo Aluko Andrew Swanson Leigh Jarvis David Dorrell |
author_facet | Anuoluwapo Aluko Andrew Swanson Leigh Jarvis David Dorrell |
author_sort | Anuoluwapo Aluko |
collection | DOAJ |
description | Stand-alone DC microgrids have multiple distributed generation (DG) sources that meet the required demand (load) by using droop control to achieve load (current) sharing between the DGs. The use of droop control leads to a voltage drop at the DC bus. This paper presents a distributed secondary control scheme to simultaneously ensure current sharing between the DGs and regulate the DC bus voltage. The proposed control scheme eliminates the voltage deviation and ensures balanced current sharing by combining the voltage and current errors in the designed secondary control loop. A new flight-based artificial bee colony optimization algorithm is proposed. This selects the parameters of the distributed secondary control scheme to achieve the objectives of the proposed controller. A state–space model of the DC microgrid is developed by using eigenvalue observation to test the impacts of the proposed optimized distributed secondary controller on the stability of the DC microgrid system. A real-time test system is developed in MATLAB/Simulink and used in a Speedgoat real-time simulator to verify the performance of the proposed control scheme for real-world applications. The results show the robustness of the proposed distributed secondary control scheme in achieving balance current sharing and voltage regulation in the DC microgrid with minimal oscillations and fast response time. |
first_indexed | 2024-03-09T10:09:01Z |
format | Article |
id | doaj.art-f2d65ebdda384ed5b0f9fd19d20e6d89 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-09T10:09:01Z |
publishDate | 2022-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-f2d65ebdda384ed5b0f9fd19d20e6d892023-12-01T22:54:39ZengMDPI AGEnergies1996-10732022-07-011515541110.3390/en15155411Modeling and Stability Analysis of Distributed Secondary Control Scheme for Stand-Alone DC Microgrid ApplicationsAnuoluwapo Aluko0Andrew Swanson1Leigh Jarvis2David Dorrell3Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY 13699, USADiscipline of Electrical, Electronics and Computer Engineering, University of KwaZulu-Natal, Durban 4041, KwaZulu-Natal, South AfricaDiscipline of Electrical, Electronics and Computer Engineering, University of KwaZulu-Natal, Durban 4041, KwaZulu-Natal, South AfricaSchool of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg 2000, Gauteng, South AfricaStand-alone DC microgrids have multiple distributed generation (DG) sources that meet the required demand (load) by using droop control to achieve load (current) sharing between the DGs. The use of droop control leads to a voltage drop at the DC bus. This paper presents a distributed secondary control scheme to simultaneously ensure current sharing between the DGs and regulate the DC bus voltage. The proposed control scheme eliminates the voltage deviation and ensures balanced current sharing by combining the voltage and current errors in the designed secondary control loop. A new flight-based artificial bee colony optimization algorithm is proposed. This selects the parameters of the distributed secondary control scheme to achieve the objectives of the proposed controller. A state–space model of the DC microgrid is developed by using eigenvalue observation to test the impacts of the proposed optimized distributed secondary controller on the stability of the DC microgrid system. A real-time test system is developed in MATLAB/Simulink and used in a Speedgoat real-time simulator to verify the performance of the proposed control scheme for real-world applications. The results show the robustness of the proposed distributed secondary control scheme in achieving balance current sharing and voltage regulation in the DC microgrid with minimal oscillations and fast response time.https://www.mdpi.com/1996-1073/15/15/5411current sharingDC microgriddistributed secondary controloptimizationstability analysisvoltage regulation |
spellingShingle | Anuoluwapo Aluko Andrew Swanson Leigh Jarvis David Dorrell Modeling and Stability Analysis of Distributed Secondary Control Scheme for Stand-Alone DC Microgrid Applications Energies current sharing DC microgrid distributed secondary control optimization stability analysis voltage regulation |
title | Modeling and Stability Analysis of Distributed Secondary Control Scheme for Stand-Alone DC Microgrid Applications |
title_full | Modeling and Stability Analysis of Distributed Secondary Control Scheme for Stand-Alone DC Microgrid Applications |
title_fullStr | Modeling and Stability Analysis of Distributed Secondary Control Scheme for Stand-Alone DC Microgrid Applications |
title_full_unstemmed | Modeling and Stability Analysis of Distributed Secondary Control Scheme for Stand-Alone DC Microgrid Applications |
title_short | Modeling and Stability Analysis of Distributed Secondary Control Scheme for Stand-Alone DC Microgrid Applications |
title_sort | modeling and stability analysis of distributed secondary control scheme for stand alone dc microgrid applications |
topic | current sharing DC microgrid distributed secondary control optimization stability analysis voltage regulation |
url | https://www.mdpi.com/1996-1073/15/15/5411 |
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