Combined State Estimation and Measurement Calibration

Zhong, Shan; Abur, Ali

doi:10.1109/tpwrs.2004.841237

Cited by 27 publications

(8 citation statements)

References 8 publications

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“…The latter work integrates synchronized measurement calibration process causing several distinct sources of errors [13]. The calibration of the measurement problem and secondary of it are detailed [14,15]. Nevertheless, implementation and performance details are not endowed.…”

Section: State-of-the Art Workmentioning

confidence: 99%

Phasor measuring unit calibration considering topology expansion of electric power utilities

Veeramuthu¹,

Ganesan²,

Subramanian³

2020

J. meas. eng.

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Phasor Measuring Units (PMU) is considered as a feasible alternative for power system data communication and for the preparation of smart grid. To operate multiple PMUs in stable mode, synchronization is a much essential procedure. After examining the concise literature survey on topical PMU applications, this paper step ahead by considering prevailing objectives such as: extension of network topology and PMU calibration considering bias errors. The appropriate deployment of PMUs and intimidating situation influence the reliance on physical configuration. Hence, it is obligatory to extend the topology of the networks. Also, calibrating the PMUs in a definite trail is crucial as the phasor measurements will be corrupted by bias error. This paper proposes a novel framework for bias error detection and calibration of PMU while expanding the topology network. With a whale optimization algorithm based method to improve the accuracy of PMU measurements for enhancing power system state estimation, monitoring and control operations. Case studies on the standard test systems have been conducted to test the efficacy of the intended tool.

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Section: State-of-the Art Workmentioning

confidence: 99%

Phasor measuring unit calibration considering topology expansion of electric power utilities

Veeramuthu¹,

Ganesan²,

Subramanian³

2020

J. meas. eng.

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“…One appends the unknown parameters to the state vector x and then solves a least-squares problem as the one given by Eq. (3) [11][12][13][14][15] or uses a Kalman filter instead [16,17]. Both methods can be combined in a two-stage process: First it is detected which network parameters are subject to errors and then the respective parameters are estimated by augmentation.…”

Section: State and Parameter Estimationmentioning

confidence: 99%

“…Several methods were previously proposed to deal with missing or erroneous information about the grid topology and parameter [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. These approaches extend the basic idea of state estimation, removing some knowledge about the topology and adding some uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Inferring power-grid topology in the face of uncertainties

et al. 2018

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We develop methods to efficiently reconstruct the topology and line parameters of a power grid from the measurement of nodal variables. We propose two compressed sensing algorithms that minimize the amount of necessary measurement resources by exploiting network sparsity, symmetry of connections, and potential prior knowledge about the connectivity. The algorithms are reciprocal to established state estimation methods, where nodal variables are estimated from few measurements given the network structure. Hence, they enable an advanced grid monitoring where both state and structure of a grid are subject to uncertainties or missing information.

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“…Corrupted measurements may appear from failures either in measurement devices or in the communication process of the collected data . When caused by uncalibrated measuring instruments, BD are not of large magnitude and may be considered ordinary by the model of the random errors established in Equation . On the other hand, communication errors can be substantial, compromising SE results.…”

Section: Treatment Of Corrupted Measurementsmentioning

confidence: 99%

Roots, achievements, and prospects of power system state estimation: A review on handling corrupted measurements

Filho

Souza

Glover³

2018

Int Trans Electr Energ Syst

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Summary State estimation (SE) is an important element of power network analysis applications implemented at control centres, being instrumental in providing reliable data on the system operating conditions. Looking back, power system SE can be considered an extremely active and argumentative research field. Despite remarkable achievements reached to date, how to process corrupted measurements still raises much interest. Hence, the need for this review paper that aims at fostering the discussion of the following aspects when handling corrupted measurements: detection, identification, and elimination/substitution of spurious measurements; observability and criticality conditions; SE and forecasting; residual and innovation tests; conventional and phasor measurements. In the golden jubilee of SE (1968‐2018), naturally influential works on the subject (some of them with historic significance) are highlighted. In doing so, the objective is to make the paper a stimulating reading for both experienced professionals and newcomers to the field. Comments on promising research directions that give a fresh perspective to SE are also provided. Finally, it is hoped that this review paper can contribute towards the improvement of SE applications, in light of enhanced bad data analyses.

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Combined State Estimation and Measurement Calibration

Cited by 27 publications

References 8 publications

Phasor measuring unit calibration considering topology expansion of electric power utilities

Phasor measuring unit calibration considering topology expansion of electric power utilities

Inferring power-grid topology in the face of uncertainties

Roots, achievements, and prospects of power system state estimation: A review on handling corrupted measurements

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