Application of Integrated Optical Electric-Field Sensor on the Measurements of Transient Voltages in AC High-Voltage Power Grids

Xie, Shuyun; Yang, Huaiyuan; Yu, Hao; Zhou, Mu; Zhang, Chenmeng; Cao, Shupin; Chang, Xiaoqing; Hua, Ruorong

doi:10.3390/app9091951

Cited by 15 publications

(9 citation statements)

References 19 publications

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“…The proposed setup uses an optical power measurement scheme, i.e., as opposed to measurement of wavelength, and thus would be relatively cheaper when compared to the utilization of complex optical spectrum analyzers for the target application. Moreover, two additional research papers presented by Xie et al [4] and Xue et al [5] have also been categorized under the rubric "fiber optic sensing". For instance, Xie et al [4] reported the application of an integrated optical electric-field sensor on the measurements of transient voltages in AC high-voltage power grids.…”

Section: Fiber Optical Sensingmentioning

confidence: 99%

“…Moreover, two additional research papers presented by Xie et al [4] and Xue et al [5] have also been categorized under the rubric "fiber optic sensing". For instance, Xie et al [4] reported the application of an integrated optical electric-field sensor on the measurements of transient voltages in AC high-voltage power grids. They developed an integrated optical electric-field sensor based on the Pockels effect to measure the transient voltages of high-voltage conductors and achieved a response speed faster than 6 ns and a wide bandwidth ranging from 5 Hz to 100 MHz [4].…”

Section: Fiber Optical Sensingmentioning

confidence: 99%

“…For instance, Xie et al [4] reported the application of an integrated optical electric-field sensor on the measurements of transient voltages in AC high-voltage power grids. They developed an integrated optical electric-field sensor based on the Pockels effect to measure the transient voltages of high-voltage conductors and achieved a response speed faster than 6 ns and a wide bandwidth ranging from 5 Hz to 100 MHz [4]. In contrast, Xue et al [5] present an electro-optic dual-comb Doppler velocimeter for high-accuracy velocity measurement by generating two optical combs using electro-optic phase modulators and tracing their repetition frequencies to a rubidium clock and demonstrating experimentally a high accuracy in the range of 100-300 mm/s with a maximum deviation of 0.44 mm/s.…”

Section: Fiber Optical Sensingmentioning

confidence: 99%

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Editorial on Special Issue “Modern Applications in Optics and Photonics: From Sensing and Analytics to Communication”

2021

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Section: Fiber Optical Sensingmentioning

confidence: 99%

Section: Fiber Optical Sensingmentioning

confidence: 99%

Section: Fiber Optical Sensingmentioning

confidence: 99%

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Editorial on Special Issue “Modern Applications in Optics and Photonics: From Sensing and Analytics to Communication”

2021

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“…In [ 23 ], a system used for recording transients on a 220 kV and 500 kV power line is described. A specially developed optical sensor with a bandwidth of 5 Hz to 100 MHz was used as the sensor.…”

Section: Introductionmentioning

confidence: 99%

A Low Cost Real-Time Transient Recorder for High Voltage Systems

Grebović,

Oprašić,

Fejzić

et al. 2023

Sensors

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Large-scale incorporation of new energy generation units based on renewable sources, such as wind and photovoltaic power, drastically alters the structure of the power system. Because of the intermittent nature of these sources, switching in grids (connection and disconnection) occurs much more frequently than with conventional sources. As a result, the power system will inevitably experience a large number of transients, which raises questions about the stability of the system and the quality of the electrical energy. Therefore, measuring various types of transients in power system is crucial for stability, power quality, fault analysis, protection design, and insulation design. Transient recorders that are currently used are generally expensive and only suitable for particular locations in power systems. The number of installed transient recorders is insufficient for a comprehensive analysis of problems that may occur. Hence, it is important to have inexpensive and efficient transient recorders that can be installed at multiple points in the power system on various types of objects. It is also essential to have a transient record database with open access, which can be used by researchers to develop new analysis techniques based on artificial intelligence. This paper proposes an inexpensive measurement and acquisition system designed to record transient phenomena on different objects within the power system. The system is designed to use autonomous power, a standardized data acquisition module, a low-budget system for transmitting recorded transient events to the server via mobile network, and a sensor system adapted to the object where transients are recorded. The proposed system is designed to be used for all types of objects in the power system where transients may occur, such as power lines, transmission towers, surge arresters, and transformers. All components of the system are described, and the system is tested under laboratory conditions. The modular nature of the system allows customization to the specifics of the location in power system by choosing appropriate components. The calibration method of the custom designed Rogowski coil is described. The cost analysis of the proposed system and power consumption analysis are performed. The results show that the system’s performance meets application requirements at a low cost.

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“…In addition to their small size, these sensors do not have the problems of conventional measuring transformers such as waveform distortion and limited bandwidth. In [35], an example of these sensors designed to measure transient voltage signals is introduced, which has a bandwidth between 5 Hz and 100 MHz.…”

Section: Introductionmentioning

confidence: 99%

A new traveling‐wave detection method for fault location based on two sequential sliding windows and curve fitting

Rezaei

Gholipour

Parvaresh

2022

IET Generation Trans & Dist

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The basis of traveling wave-based fault location methods is to extract the arrival times of transient signals in the power network. In this paper, a new method for extracting the traveling wave arrival times is presented. For this purpose, the aerial modes of three-phase voltage signals are extracted and two sequential sliding windows of unequal length move along with this signal. By fitting a line to the samples inside each of the two windows and calculating the angle between them, the traveling wave arrival times can be determined with high accuracy. Because this takes place in the time domain, there is no need to switch between time and frequency domains similar to those in Fourier transforms. On the other hand, fitting curves reduce the negative effects of noise and sampling frequency changes. EMTP-ATP is applied to perform the transient simulations and the results are then analysed in MATLAB to conduct the sensitivity analysis against the measurement noises, the sampling frequency, and the fault parameters. The proposed technique is compared to the common techniques such as discrete wavelet transforms and Hilbert Huang transforms. The results demonstrate that the proposed technique has acceptable performance and covers the drawbacks of common methods. INTRODUCTIONThe motivation for addressing the issue of traveling wave arrival time (TWAT) detection, the work done in this field, and what is discussed in this article can be summarized as follows. MotivationAccurate fault location in transmission lines reduces power system recovery time, associated costs, and financial losses, especially in deregulated environments. Fault location in the power grid is done in three ways; impedance-based methods [1, 2], traveling wave-based fault location (TWFL) [3-5], and artificial intelligence-based methods [6, 7]. The impedancebased method use power frequency components of voltages and currents while the traveling wave-based methods adopt high-frequency transient components generated by the fault or switching operations. Artificial intelligence/machine learning (AI/ML) methods are generally based on soft computing.In recent decades, with the advancement of signal processing and the possibility of signal sampling at high frequencies,This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Application of Integrated Optical Electric-Field Sensor on the Measurements of Transient Voltages in AC High-Voltage Power Grids

Cited by 15 publications

References 19 publications

Editorial on Special Issue “Modern Applications in Optics and Photonics: From Sensing and Analytics to Communication”

Editorial on Special Issue “Modern Applications in Optics and Photonics: From Sensing and Analytics to Communication”

A Low Cost Real-Time Transient Recorder for High Voltage Systems

A new traveling‐wave detection method for fault location based on two sequential sliding windows and curve fitting

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