Improving the Performance of DC Microgrids byb Utilizing Adaptive Takagi-Sugeno Model Predictive Control

In naval direct current (DC) microgrids, pulsed power loads (PPLs) are becoming more prominent. A solar system, an energy storage system, and a pulse load coupled directly to the DC bus compose a DC microgrid in this study. For DC microgrids equipped with sonar, radar, and other sensors, pulse load...

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Main Authors: Hui Hwang Goh, Hui Hwang Goh, Jiahui Kang, Jiahui Kang, Dongdong Zhang, Dongdong Zhang, Hui Liu, Hui Liu, Wei Dai, Wei Dai, Tonni Agustiono Kurniawan, Tonni Agustiono Kurniawan, Kai Chen Goh, Kai Chen Goh
Format: Article
Language:English
Published: 2023
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Online Access:http://eprints.uthm.edu.my/10597/1/J16555_c7818bca77313d74b1f271e103f264db.pdf
http://eprints.uthm.edu.my/10597/
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Institution: Universiti Tun Hussein Onn Malaysia
Language: English
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spelling my.uthm.eprints.105972024-01-15T07:29:55Z http://eprints.uthm.edu.my/10597/ Improving the Performance of DC Microgrids byb Utilizing Adaptive Takagi-Sugeno Model Predictive Control Hui Hwang Goh, Hui Hwang Goh Jiahui Kang, Jiahui Kang Dongdong Zhang, Dongdong Zhang Hui Liu, Hui Liu Wei Dai, Wei Dai Tonni Agustiono Kurniawan, Tonni Agustiono Kurniawan Kai Chen Goh, Kai Chen Goh T Technology (General) In naval direct current (DC) microgrids, pulsed power loads (PPLs) are becoming more prominent. A solar system, an energy storage system, and a pulse load coupled directly to the DC bus compose a DC microgrid in this study. For DC microgrids equipped with sonar, radar, and other sensors, pulse load research is crucial. Due to high pulse loads, there is a possibility of severe power pulsation and voltage loss. The original contribution of this paper is that we are able to address the nonlinear problem by applying the Takagi-Sugeno (TS) model formulation for naval DC microgrids. Additionally, we provide a nonlinear power observer for estimating major disturbances affecting DC microgrids. To demonstrate the TS-potential, we examine three approaches for mitigating their negative effects: instantaneous power control (IPC) control, model predictive control (MPC) formulation, and TS-MPC approach with compensated PPLs. The results reveal that the TS-MPC approach with adjusted PPLs effectively shares power and regulates bus voltage under a variety of load conditions, while greatly decreasing detrimental impacts of the pulse load. Additionally, the comparison confirmed the efficiency of this technique. 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/10597/1/J16555_c7818bca77313d74b1f271e103f264db.pdf Hui Hwang Goh, Hui Hwang Goh and Jiahui Kang, Jiahui Kang and Dongdong Zhang, Dongdong Zhang and Hui Liu, Hui Liu and Wei Dai, Wei Dai and Tonni Agustiono Kurniawan, Tonni Agustiono Kurniawan and Kai Chen Goh, Kai Chen Goh (2023) Improving the Performance of DC Microgrids byb Utilizing Adaptive Takagi-Sugeno Model Predictive Control. CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 9 (4). pp. 1472-1481.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Hui Hwang Goh, Hui Hwang Goh
Jiahui Kang, Jiahui Kang
Dongdong Zhang, Dongdong Zhang
Hui Liu, Hui Liu
Wei Dai, Wei Dai
Tonni Agustiono Kurniawan, Tonni Agustiono Kurniawan
Kai Chen Goh, Kai Chen Goh
Improving the Performance of DC Microgrids byb Utilizing Adaptive Takagi-Sugeno Model Predictive Control
description In naval direct current (DC) microgrids, pulsed power loads (PPLs) are becoming more prominent. A solar system, an energy storage system, and a pulse load coupled directly to the DC bus compose a DC microgrid in this study. For DC microgrids equipped with sonar, radar, and other sensors, pulse load research is crucial. Due to high pulse loads, there is a possibility of severe power pulsation and voltage loss. The original contribution of this paper is that we are able to address the nonlinear problem by applying the Takagi-Sugeno (TS) model formulation for naval DC microgrids. Additionally, we provide a nonlinear power observer for estimating major disturbances affecting DC microgrids. To demonstrate the TS-potential, we examine three approaches for mitigating their negative effects: instantaneous power control (IPC) control, model predictive control (MPC) formulation, and TS-MPC approach with compensated PPLs. The results reveal that the TS-MPC approach with adjusted PPLs effectively shares power and regulates bus voltage under a variety of load conditions, while greatly decreasing detrimental impacts of the pulse load. Additionally, the comparison confirmed the efficiency of this technique.
format Article
author Hui Hwang Goh, Hui Hwang Goh
Jiahui Kang, Jiahui Kang
Dongdong Zhang, Dongdong Zhang
Hui Liu, Hui Liu
Wei Dai, Wei Dai
Tonni Agustiono Kurniawan, Tonni Agustiono Kurniawan
Kai Chen Goh, Kai Chen Goh
author_facet Hui Hwang Goh, Hui Hwang Goh
Jiahui Kang, Jiahui Kang
Dongdong Zhang, Dongdong Zhang
Hui Liu, Hui Liu
Wei Dai, Wei Dai
Tonni Agustiono Kurniawan, Tonni Agustiono Kurniawan
Kai Chen Goh, Kai Chen Goh
author_sort Hui Hwang Goh, Hui Hwang Goh
title Improving the Performance of DC Microgrids byb Utilizing Adaptive Takagi-Sugeno Model Predictive Control
title_short Improving the Performance of DC Microgrids byb Utilizing Adaptive Takagi-Sugeno Model Predictive Control
title_full Improving the Performance of DC Microgrids byb Utilizing Adaptive Takagi-Sugeno Model Predictive Control
title_fullStr Improving the Performance of DC Microgrids byb Utilizing Adaptive Takagi-Sugeno Model Predictive Control
title_full_unstemmed Improving the Performance of DC Microgrids byb Utilizing Adaptive Takagi-Sugeno Model Predictive Control
title_sort improving the performance of dc microgrids byb utilizing adaptive takagi-sugeno model predictive control
publishDate 2023
url http://eprints.uthm.edu.my/10597/1/J16555_c7818bca77313d74b1f271e103f264db.pdf
http://eprints.uthm.edu.my/10597/
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