Detection and Correction of Systematic Errors in Instrument Transformers Along With Line Parameter Estimation Using PMU Data

Khandeparkar, Kedar; Soman, S. A.; Gajjar, Gopal

doi:10.1109/tpwrs.2016.2620990

Cited by 69 publications

(35 citation statements)

References 20 publications

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“…In the case of the latter, errors in line impedance and/or systematic errors in the respective instrument transfers may adversely impact the ability to accurately estimate the controller measurements. Particular care must be taken to appropriately account for these sources of error [21]. When operating in LDC mode, a regulator may employ LDC-R&X or LDC-Z.…”

Section: A Voltage Regulatorsmentioning

confidence: 99%

Learning Behavior of Distribution System Discrete Control Devices for Cyber-Physical Security

Roberts

Scaglione

Jamei

et al. 2020

IEEE Trans. Smart Grid

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Time at which devices actuates for event i t i c Time at which variable crosses upper-/lowerthreshold for event i t sampling Sampling period of controller t w Time window for events t timer Countdown timer to device actuation t f rac remain Fraction of t timer remaining when operating with an inverse time delay V lower Voltage lower threshold. V upper Voltage upper threshold. V T arget Regulator target voltage. V set User set target voltage at zero loading conditions. X Drop Voltage drop due to network reactance. Z Drop Voltage drop due to network impedance.

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Section: A Voltage Regulatorsmentioning

confidence: 99%

Learning Behavior of Distribution System Discrete Control Devices for Cyber-Physical Security

Roberts

Scaglione

Jamei

et al. 2020

IEEE Trans. Smart Grid

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“…It has been illustrated that by obtaining weights of the measurements, based on the uncertainty of the whole measurement chain, the performance of the state estimator can be improved considerably. Furthermore, [9] and [10] present methodologies for the instrument transformer calibration through the estimation of the unknown ratio errors according to synchronized measurements. The authors in [11] investigated the improvement in the accuracy of the phasor measurements, when optical instrument transformers are considered instead of the traditional ones.…”

Section: Introductionmentioning

confidence: 99%

Measurement Errors and Delays on Wide-Area Control Based on IEEE Std C37.118.1-2011: Impact and Compensation

Zacharia

Asprou

Kyriakides

2020

IEEE Systems Journal

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Wide Area Control (WAC) of power systems is highly depended on synchronized measurements provided by the Phasor Measurement Units (PMUs). However, the contemporary measurement chain and the communication network are far from ideal. Therefore, it is essential to identify the impact of the availability and quality of the synchronized measurements, on the wide area controller's performance. This paper examines the effect of measurement errors and delays/dropouts on the damping capability of the wide area controller. The measurement errors considered in this work are according to the dynamic compliance requirements of the PMU during disturbances as it is imposed in the IEEE Synchrophasor Standard C37.118.1-2011. The delays are separated into measurement and feedback delays. The results indicate that delays along with dropouts deteriorate significantly the WAC performance, while the consideration of only the measurement errors (steady-state and dynamic) in the simulation environment has a minor effect on its operation. For this reason, a linear predictor is proposed to compensate effectively and timely all the system's delays. The case studies are conducted on the IEEE 39-bus system and evaluated through the Prony analysis tool.

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“…With local signals and measurements, the conventional controller has limited ability to damp oscillations between areas [4]. Applications of the phasor measurement unit (PMU) and power system stabilizer (PSS) adopting remote signals make it possible and practicable to inhibit inter-area oscillations [5][6][7]. A salient characteristic of wide-area measurement systems (WAMS) is data corruption, including time-delay, data-loss, and disordering, which can prominently jeopardize a system's dynamic stability [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Eigen-Analysis Considering Time-Delay and Data-Loss of WAMS and ITS Application to WADC Design Based on Damping Torque Analysis

Zhou

Zhong

et al. 2018

Energies

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Data-loss from wide-area measurement systems (WAMS) is a stochastic event and eigenvalues of power systems containing data-loss cannot be calculated directly. This paper proposes a unified model of WAMS data containing time-delay and data-loss according to its mathematical expectation. Based on Pade approximation, the model is incorporated into a system linearized model with WAMS. Thus, an eigen-analysis can be conducted to analyze the impacts of data corruption and to calculate the system stability time-delay margin. Then, the unified model is applied to damping torque analysis (DTA) to derive the damping torque index (DTI) with WAMS. The DTI can be used to select feedback signals and conduct the parameter design of a wide-area damping controller (WADC). Finally, the 2-area 4-machine (2A4M) Kundur system and Eastern China power grid (ECPG) are simulated to validate the feasibility of the model and its application. The results demonstrate the impacts of data corruption on system dynamic performance and the ability of the method to improve the small-signal stability of interconnected power grids.

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Detection and Correction of Systematic Errors in Instrument Transformers Along With Line Parameter Estimation Using PMU Data

Cited by 69 publications

References 20 publications

Learning Behavior of Distribution System Discrete Control Devices for Cyber-Physical Security

Learning Behavior of Distribution System Discrete Control Devices for Cyber-Physical Security

Measurement Errors and Delays on Wide-Area Control Based on IEEE Std C37.118.1-2011: Impact and Compensation

Eigen-Analysis Considering Time-Delay and Data-Loss of WAMS and ITS Application to WADC Design Based on Damping Torque Analysis

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