Data quality issues for synchrophasor applications Part II: problem formulation and potential solutions

Huang, Can; Li, Fangxing; Zhan, Lin; Xu, Yao; Hu, Qinran; Zhou, Dao; Li, Fangxing

doi:10.1007/s40565-016-0213-8

Cited by 45 publications

(33 citation statements)

References 34 publications

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“…Lagrange interpolating polynomial is described in [4], [15], [16] and can be represented as follows-…”

Section: Fig 6 Input and Output From Foh B Lagrange Polynomial Methodsmentioning

confidence: 99%

“…Advent of real-time PMU data acquisition technology has provided remedies to different power system stability issues by continuously analyzing swings of the measured variables. However, there is a risk that the data collected from PMUs might undergo quality issues [4] like being non-numeric numbers, or noisy values or simply missed samples. Reference [5] mentions that on an average, 5-10% of missing samples have been recorded in some historical PMU data sets.…”

Section: Introductionmentioning

confidence: 99%

“…Methods like zero order hold (ZOH) and first order hold (FOH) [6], [7] use linear prediction of the missing samples by extrapolating recent available samples. Another method called Lagrange interpolation method [4] is also based on linear prediction from past samples and has been discussed in this paper. This paper focuses power flow simulations performed to measure robustness of the one shot control scheme used in [2] assuming 0-10% of missing PMU"s data.…”

Section: Introductionmentioning

confidence: 99%

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Methods of Missing Data Handlingin One Shot Response based Power System Control

Dahal¹

2019

IJEAT

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The work done in this paper addresses various methods of handling missing phasor samples obtained from power flow simulations using DSA tools like TSAT and PSAT. Pseudorandom numbers in MATLAB are used to simulate 0-10% of missing samples and are recovered using different extrapolation techniques. After recovery, samples are subjected to decision trees to assess the performance of one shot stabilizing controls like in [1], [2].The power system model used is the 176 bus model of Western Electrical Coordinating Council (WECC).

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“…Lagrange interpolating polynomial is described in [4], [15], [16] and can be represented as follows-…”

Section: Fig 6 Input and Output From Foh B Lagrange Polynomial Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Methods of Missing Data Handlingin One Shot Response based Power System Control

Dahal¹

2019

IJEAT

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“…Reports of some blackouts show that the detailed dynamics can hardly be reproduced by numerical simulation due to the inaccuracy of equipment parameters [1]- [3]. It is crucial to improve the quality of equipment parameters to ensure stable and secure operation of modern power systems [4]- [7].…”

Section: Introductionmentioning

confidence: 99%

Measurement-Based Transmission Line Parameter Estimation With Adaptive Data Selection Scheme

Zhang

et al. 2018

IEEE Trans. Smart Grid

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Abstract-Accurate parameters of transmission lines are critical for power system operation and control decision making. Transmission line parameter estimation based on measured data is an effective way to enhance the validity of the parameters. This paper proposes a multi-point transmission line parameter estimation model with an adaptive data selection scheme based on measured data. Data selection scheme, defined with time window and number of data points, is introduced in the estimation model as additional variables to optimize. The data selection scheme is adaptively adjusted to minimize the relative standard deviation (RSD) of estimated parameters. An iterative technique derived from the Newton method is adopted to solve the proposed model by fitting the relationship between the RSD and data selection scheme with exponential functions. Simulated data are applied to illustrate the performance of the proposed model. Some 500kV transmission lines from a provincial power system of China are estimated to demonstrate the applicability of the presented model. The superiority of the proposed model over fixed data selection schemes is also verified.Index Terms-Adaptive data selection, parameters estimation, power systems, supervisory control and data acquisition system (SCADA), transmission line, wide area measurement system (WAMS)

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“…Now the power grid is being transformed into the ''smart grid'' to supply more reliable, more sustainable, and more affordable electricity to customers. To achieve these attributes, a variety of smart grid technologies are demanded [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Data quality issues for synchrophasor applications Part I: a review

Huang

Zhou

et al. 2016

J. Mod. Power Syst. Clean Energy

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Synchrophasor systems, providing low-latency, high-precision, and time-synchronized measurements to enhance power grid performances, are deployed globally. However, the synchrophasor system as a physical network, involves communication constraints and data quality issues, which will impact or even disable certain synchrophasor applications. This work investigates the data quality issue for synchrophasor applications. In Part I, the standards of synchrophasor systems and the classifications and data quality requirements of synchrophasor applications are reviewed. Also, the actual events of synchronization signal accuracy, synchrophasor data loss, and latency are counted and analyzed. The review and statistics are expected to provide an overall picture of data accuracy, loss, and latency issues for synchrophasor applications.

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Data quality issues for synchrophasor applications Part II: problem formulation and potential solutions

Cited by 45 publications

References 34 publications

Methods of Missing Data Handlingin One Shot Response based Power System Control

Methods of Missing Data Handlingin One Shot Response based Power System Control

Measurement-Based Transmission Line Parameter Estimation With Adaptive Data Selection Scheme

Data quality issues for synchrophasor applications Part I: a review

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