Residential College | false |
Status | 已發表Published |
Model Predictive Control-Based Active/Reactive Power Regulation of Inverter Air Conditioners for Improving Voltage Quality of Distribution Systems | |
Chen, Lunshu1,2; Hui, Hongxun1,2 | |
2024-10 | |
Source Publication | IEEE Transactions on Industrial Informatics |
ISSN | 1551-3203 |
Abstract | The distribution system's voltage has more fluctuations due to the increasing intermittent and uncertain generation of renewable energy sources. To deal with massive and abrupt voltage issues, more operating reserves should be established. Compared with traditional regulation resources from generators, demand response by regulating the power consumption of demand-side resources is getting greater attention. On the demand-side, inverter air conditioners (IACs) account for a high power consumption percentage and have huge regulation potential. However, it remains a significant challenge to control large-scale IACs. Traditional control methods only consider active power and do not consider the compressor's complex characteristics combining active and reactive power. To address this issue, this article proposes a two-stage method considering system voltage quality. The first stage is using the photovoltaics' operating reserve for maintaining the system voltage in the safe range. The second stage is under more serious voltage deviations to regulate IACs' active power and reactive power based on model predictive control. Finally, hardware-in-the-loop experiments with realistic IAC are conducted to verify the proposed method. The proposed method improves the voltage fluctuation by 23.45% compared to the traditional method. The experimental results demonstrate that the proposed method can effectively maintain the distribution system's voltage within the allowable range. |
Keyword | Demand Response Hardware-in-the-loop (Hil) Inverter Air Conditioners (Iacs) Model Predictive Control (Mpc) Voltage Regulation |
DOI | 10.1109/TII.2024.3468475 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Automation & Control Systems ; Computer Science ; Engineering |
WOS Subject | Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial |
WOS ID | WOS:001337396000001 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 |
Scopus ID | 2-s2.0-85207441452 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Science and Technology THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
Corresponding Author | Hui, Hongxun |
Affiliation | 1.University of Macau, State Key Laboratory of Internet of Things for Smart City, The Department of Electrical and Computer Engineering, Macao, 999078, Macao 2.Zhuhai UM Science and Technology Research Institute, Zhuhai, 519031, China |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Chen, Lunshu,Hui, Hongxun. Model Predictive Control-Based Active/Reactive Power Regulation of Inverter Air Conditioners for Improving Voltage Quality of Distribution Systems[J]. IEEE Transactions on Industrial Informatics, 2024. |
APA | Chen, Lunshu., & Hui, Hongxun (2024). Model Predictive Control-Based Active/Reactive Power Regulation of Inverter Air Conditioners for Improving Voltage Quality of Distribution Systems. IEEE Transactions on Industrial Informatics. |
MLA | Chen, Lunshu,et al."Model Predictive Control-Based Active/Reactive Power Regulation of Inverter Air Conditioners for Improving Voltage Quality of Distribution Systems".IEEE Transactions on Industrial Informatics (2024). |
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