Correction of Phasor Measurements Independent of Transmission Line Parameters

Xue, Ancheng; Xu, Feiyang; Xu, Jingsong; Chow, Joe H.; You, Hongyu; Bi, Tianshu

doi:10.1109/tsg.2019.2921819

Cited by 20 publications

(17 citation statements)

References 30 publications

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“…In [38], a method for estimating constant PAD bias error is proposed. This section extends the proposed method in [38] to obtain the time-varying PAD deviation which may be caused by a ramp attack.…”

Section: Estimation and Correction Of Pad Deviationmentioning

confidence: 99%

Online Pattern Recognition and Data Correction of PMU Data Under GPS Spoofing Attack

Xue

et al. 2020

Journal of Modern Power Systems and Clean Energy

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Smart grids are increasingly dependent on data with the rapid development of communication and measurement. As one of the important data sources of smart grids, phasor measurement unit (PMU) is facing the high risk from attacks. Compared with cyber attacks, global position system (GPS) spoofing attacks (GSAs) are easier to implement because they can be exploited by portable devices, without the need to access the physical system. Therefore, this paper proposes a novel method for pattern recognition of GSA and an additional function of the proposed method is the data correction to the phase angle difference (PAD) deviation. Specifically, this paper analyzes the effect of GSA on PMU measurement and gives two common patterns of GSA, i.e., the step attack and the ramp attack. Then, the method of estimating the PAD deviation across a transmission line introduced by GSA is proposed, which does not require the line parameters. After obtaining the estimated PAD deviations, the pattern of GSA can be recognized by hypothesis tests and correlation coefficients according to the statistical characteristics of the estimated PAD deviations. Finally, with the case studies, the effectiveness of the proposed method is demonstrated, and the success rate of the pattern recognition and the online performance of the proposed method are analyzed.

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Section: Estimation and Correction Of Pad Deviationmentioning

confidence: 99%

Online Pattern Recognition and Data Correction of PMU Data Under GPS Spoofing Attack

Xue

et al. 2020

Journal of Modern Power Systems and Clean Energy

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“…4, the measured Δθmn/Pmn has an opposite direction with the X/UN 2 , which does not satisfy (3). Thus, considering that the active power is reliable, there may be a constant deviation lying in the voltage phasor angle difference, as stated in [17]. In addition, due to the correctness of other measurement data, the deviation is likely to be caused by the time synchronization, especially the FDCO when GPS/BDS signal is lost.…”

Section: A Characteristics Of Vpad Vs Active Powermentioning

confidence: 99%

“…From the error propagation theory, the maximum error σh of h (x1, x2, … xn) which contains n variables can be calculated by Eq.(16). (17) With error propagation theory, the maximum error σh of (14) can be obtained, which could be used as a reference value for the threshold to determine whether the Δθmn/Pmn value is normal. The maximum error σh is:…”

Section: B δθMn/pmn Invariance Determinationmentioning

confidence: 99%

“…The accuracy of PMU measurement is the premise for the above advanced applications. However, the PMU data may have quality problems [12][13][14][15] , especially the phase angle data [16][17][18] . The sources of PMU phase angle data errors can be divided into three categories: one results from the error of the data caused by PMU, which is mainly owing to the voltage and current transformer; the second results from the PMU phasor algorithm; the last is the error caused by PMU signal synchronization, which is mainly due to timing and punctual system problems (such as GPS/BDS failure, GPS/BDS signal spoofing attack, GPS/BDS plug-in damage or internal punctual CO frequency deviation, etc.).…”

Section: Introductionmentioning

confidence: 99%

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Characteristics of PMU Phase Angle Difference Induced by Frequency Deviation of Crystal Oscillator and its Detection Method

et al. 2020

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Phasor measurement unit (PMU), which could provide high-frequency phasors including the amplitude and phase angle synchronized with Global Positioning System (GPS)/BeiDou Navigation Satellite System (BDS) signal, plays a vital role in dynamic monitoring of power systems. However, if the GPS/BDS signal could not be received, the time of PMU, which depends on the crystal oscillator (CO), would cause measurement deviation due to frequency shifts of CO, and then the PMU data would engage deviations and deteriorate the relevant applications. In recognizing the above problems, this paper proposes a method to detect the frequency deviation of the crystal oscillator (FDCO) based on the correlation coefficient, according to its relation with the characteristic of the voltage phase angle difference(VPAD) between the two ends of the line. In detail, firstly, the quality of the VPAD of PMU between the two ends of the line is analyzed and the related problem is stated. Secondly, the characteristics of PMU data, when FDCO exists, are derived and analyzed, especially the VPAD between the line, and the suitability of the data for detecting the FDCO is discussed. Thirdly, the ideas and specific methods of detecting the FDCO in case of malfunction of GPS/BDS signal are proposed. Furthermore, the validity of the proposed method with simulation data and modified measured data is presented. Finally, the conjectures on the reasons for the approximately constant VPAD deviation in the previous section are discussed.

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“…One way to get rid of the noise problem that commonly contaminates the data is to denoise the PMU measurements using wavelets prior to the calculation of the transmission line parameters as it is proposed in [24]. Another example of how the synchronisation time error correction is made in order to ensure precise line estimation what has been given in [25].…”

Section: Introductionmentioning

confidence: 99%

Novel technique for transmission line parameters estimation using synchronised sampled data

Bendjabeur

Kouadri

Mekhilef

2019

IET Generation, Transmission & Distribution

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Correction of Phasor Measurements Independent of Transmission Line Parameters

Cited by 20 publications

References 30 publications

Online Pattern Recognition and Data Correction of PMU Data Under GPS Spoofing Attack

Online Pattern Recognition and Data Correction of PMU Data Under GPS Spoofing Attack

Characteristics of PMU Phase Angle Difference Induced by Frequency Deviation of Crystal Oscillator and its Detection Method

Novel technique for transmission line parameters estimation using synchronised sampled data

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