Analysis of Voltage Drop and Low-Accuracy Position Estimation Issues for High-Speed PMMs Used in Electric Submersible Pumps

Chao Gong; Brian Seibel; Yunwei Li

doi:10.1109/IECON51785.2023.10312200

Analysis of Voltage Drop and Low-Accuracy Position Estimation Issues for High-Speed PMMs Used in Electric Submersible Pumps

Chao Gong, Brian Seibel, Yunwei Li

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the area of electric submersible pumps (ESPs), permanent magnet motor (PMM) drives are drawing increasing attention due to the advantages of high energy efficiency and high-power density. However, there are few studies focusing on the specific issues of the ESP PMM drives. To solve the issue, this paper emphasizes the voltage drop and position estimation inaccuracy issues of the system. First, the voltage drops caused by the LC filter, transformer, and long cables are analyzed, providing guidelines for designing the appropriate PMM drives. Second, the impacts of system structure on position and speed estimation accuracy are explained at length, posing necessity of developing improved sensorless control strategies. Finally, simulation is conducted on a PMM drive to verify the effectiveness of the analytical results.

Original language	English
Title of host publication	IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
ISBN (Electronic)	9798350331820
DOIs	https://doi.org/10.1109/IECON51785.2023.10312200
State	Published - 2023
Externally published	Yes
Event	49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore Duration: 16 Oct 2023 → 19 Oct 2023

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
ISSN (Print)	2162-4704
ISSN (Electronic)	2577-1647

Conference

Conference	49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
Country/Territory	Singapore
City	Singapore
Period	16/10/23 → 19/10/23

Keywords

electric submersible pump
permanent magnet motor
position estimation
sliding mode observer
voltage drop

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IECON51785.2023.10312200

Cite this

Gong, C., Seibel, B., & Li, Y. (2023). Analysis of Voltage Drop and Low-Accuracy Position Estimation Issues for High-Speed PMMs Used in Electric Submersible Pumps. In IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society (IECON Proceedings (Industrial Electronics Conference)). IEEE Computer Society. https://doi.org/10.1109/IECON51785.2023.10312200

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title = "Analysis of Voltage Drop and Low-Accuracy Position Estimation Issues for High-Speed PMMs Used in Electric Submersible Pumps",

abstract = "In the area of electric submersible pumps (ESPs), permanent magnet motor (PMM) drives are drawing increasing attention due to the advantages of high energy efficiency and high-power density. However, there are few studies focusing on the specific issues of the ESP PMM drives. To solve the issue, this paper emphasizes the voltage drop and position estimation inaccuracy issues of the system. First, the voltage drops caused by the LC filter, transformer, and long cables are analyzed, providing guidelines for designing the appropriate PMM drives. Second, the impacts of system structure on position and speed estimation accuracy are explained at length, posing necessity of developing improved sensorless control strategies. Finally, simulation is conducted on a PMM drive to verify the effectiveness of the analytical results.",

keywords = "electric submersible pump, permanent magnet motor, position estimation, sliding mode observer, voltage drop",

author = "Chao Gong and Brian Seibel and Yunwei Li",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 ; Conference date: 16-10-2023 Through 19-10-2023",

year = "2023",

doi = "10.1109/IECON51785.2023.10312200",

language = "英语",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

booktitle = "IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society",

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Gong, C, Seibel, B & Li, Y 2023, Analysis of Voltage Drop and Low-Accuracy Position Estimation Issues for High-Speed PMMs Used in Electric Submersible Pumps. in IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), IEEE Computer Society, 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023, Singapore, Singapore, 16/10/23. https://doi.org/10.1109/IECON51785.2023.10312200

Analysis of Voltage Drop and Low-Accuracy Position Estimation Issues for High-Speed PMMs Used in Electric Submersible Pumps. / Gong, Chao; Seibel, Brian; Li, Yunwei.
IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2023. (IECON Proceedings (Industrial Electronics Conference)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis of Voltage Drop and Low-Accuracy Position Estimation Issues for High-Speed PMMs Used in Electric Submersible Pumps

AU - Gong, Chao

AU - Seibel, Brian

AU - Li, Yunwei

PY - 2023

Y1 - 2023

N2 - In the area of electric submersible pumps (ESPs), permanent magnet motor (PMM) drives are drawing increasing attention due to the advantages of high energy efficiency and high-power density. However, there are few studies focusing on the specific issues of the ESP PMM drives. To solve the issue, this paper emphasizes the voltage drop and position estimation inaccuracy issues of the system. First, the voltage drops caused by the LC filter, transformer, and long cables are analyzed, providing guidelines for designing the appropriate PMM drives. Second, the impacts of system structure on position and speed estimation accuracy are explained at length, posing necessity of developing improved sensorless control strategies. Finally, simulation is conducted on a PMM drive to verify the effectiveness of the analytical results.

AB - In the area of electric submersible pumps (ESPs), permanent magnet motor (PMM) drives are drawing increasing attention due to the advantages of high energy efficiency and high-power density. However, there are few studies focusing on the specific issues of the ESP PMM drives. To solve the issue, this paper emphasizes the voltage drop and position estimation inaccuracy issues of the system. First, the voltage drops caused by the LC filter, transformer, and long cables are analyzed, providing guidelines for designing the appropriate PMM drives. Second, the impacts of system structure on position and speed estimation accuracy are explained at length, posing necessity of developing improved sensorless control strategies. Finally, simulation is conducted on a PMM drive to verify the effectiveness of the analytical results.

KW - electric submersible pump

KW - permanent magnet motor

KW - position estimation

KW - sliding mode observer

KW - voltage drop

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M3 - 会议稿件

AN - SCOPUS:85179508402

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Analysis of Voltage Drop and Low-Accuracy Position Estimation Issues for High-Speed PMMs Used in Electric Submersible Pumps

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Keywords

UN SDGs

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