Synchronized Wireless Measurement of High-Voltage Power System Frequency Using Mobile Embedded Systems.

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Title: Synchronized Wireless Measurement of High-Voltage Power System Frequency Using Mobile Embedded Systems.
Authors: Yao, Wenxuan1, Lu, Haoyang1, Till, Micah J.1, Gao, Wei1, Liu, Yilu1
Source: IEEE Transactions on Industrial Electronics. Mar2018, Vol. 65 Issue 3, p2775-2784. 10p.
Subjects: Mobile computing software, Embedded computer systems, High voltages, Signal frequency estimation, Wireless communications, Network Time Protocol (Computer network protocol), Fourier transforms
Abstract: This paper focuses on synchronized wireless measurement of high-voltage (HV) power system frequency using mobile embedded systems (MESs) integrated with a wireless electric field sensor (WEFS). Unlike traditional synchronized frequency measurement devices, which rely on potential transformers and current transformers physically connected to system elements, a WEFS is used to realize wireless signal acquisition in the vicinity of any HV apparatus. The MES performs real-time frequency estimation using a recursive discrete Fourier transform based algorithm. Network time protocol (NTP) is used for time synchronization, increasing the system flexibility by eliminating global positioning system reliance. An NTP-based synchronized sampling control method is proposed and implemented in MES to compensate the sampling time error caused by local time drift and division residue. The proposed system has the advantages of portability and lower cost, making it highly accessible and useful for a wide array of synchronized frequency measurement applications. Experiment results verify the accuracy and effectiveness of the proposed system. [ABSTRACT FROM PUBLISHER]
Copyright of IEEE Transactions on Industrial Electronics is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="DE" term="%22Mobile+computing+software%22">Mobile computing software</searchLink><br /><searchLink fieldCode="DE" term="%22Embedded+computer+systems%22">Embedded computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22High+voltages%22">High voltages</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+frequency+estimation%22">Signal frequency estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+communications%22">Wireless communications</searchLink><br /><searchLink fieldCode="DE" term="%22Network+Time+Protocol+%28Computer+network+protocol%29%22">Network Time Protocol (Computer network protocol)</searchLink><br /><searchLink fieldCode="DE" term="%22Fourier+transforms%22">Fourier transforms</searchLink>
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  Data: This paper focuses on synchronized wireless measurement of high-voltage (HV) power system frequency using mobile embedded systems (MESs) integrated with a wireless electric field sensor (WEFS). Unlike traditional synchronized frequency measurement devices, which rely on potential transformers and current transformers physically connected to system elements, a WEFS is used to realize wireless signal acquisition in the vicinity of any HV apparatus. The MES performs real-time frequency estimation using a recursive discrete Fourier transform based algorithm. Network time protocol (NTP) is used for time synchronization, increasing the system flexibility by eliminating global positioning system reliance. An NTP-based synchronized sampling control method is proposed and implemented in MES to compensate the sampling time error caused by local time drift and division residue. The proposed system has the advantages of portability and lower cost, making it highly accessible and useful for a wide array of synchronized frequency measurement applications. Experiment results verify the accuracy and effectiveness of the proposed system. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of IEEE Transactions on Industrial Electronics is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/TIE.2017.2736509
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 2775
    Subjects:
      – SubjectFull: Mobile computing software
        Type: general
      – SubjectFull: Embedded computer systems
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      – SubjectFull: High voltages
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      – SubjectFull: Signal frequency estimation
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      – SubjectFull: Wireless communications
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      – SubjectFull: Network Time Protocol (Computer network protocol)
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      – SubjectFull: Fourier transforms
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            NameFull: Till, Micah J.
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              Text: Mar2018
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              Y: 2018
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