Simulation of a Phasor Measurement Unit in Real Time Using Typhoon Virtual HIL

Reis, Amanda Wohlfahrt; Guarda, Fernando Guilherme Kaehler; Gastaldini, Cristiane Cauduro

doi:10.1109/isgt-la.2019.8895261

Cited by 7 publications

(2 citation statements)

References 3 publications

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“…The acquired data to the PMU has been gathered from numerous locations around the grid to monitor the health of the grid operation, those date are real-time Global Positioning System (GPS) stamped [6,7]. The functionality of the PMU relies on taking the sample measurement of voltage and current beside the system phasor timely-stamped GPS forming so-called Synchrophasor.…”

Section: Figure 1: Elements Of Smart Gridmentioning

confidence: 99%

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A Robust Asynchrophasor in PMU Using Second-Order Kalman Filter

Alqahtani¹,

Alqahtani²

2023

Computers, Materials &Amp; Continua

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Phasor Measurement Units (PMUs) provide Global Positioning System (GPS) time-stamped synchronized measurements of voltage and current with the phase angle of the system at certain points along with the grid system. Those synchronized data measurements are extracted in the form of amplitude and phase from various locations of the power grid to monitor and control the power system condition. A PMU device is a crucial part of the power equipment in terms of the cost and operative point of view. However, such ongoing development and improvement to PMUs' principal work are essential to the network operators to enhance the grid quality and the operating expenses. This paper introduces a proposed method that led to lowcost and less complex techniques to optimize the performance of PMU using Second-Order Kalman Filter. It is based on the Asyncrhophasor technique resulting in a phase error minimization when receiving the signal from an access point or from the main access point. The MATLAB model has been created to implement the proposed method in the presence of Gaussian and non-Gaussian. The results have shown the proposed method which is Second-Order Kalman Filter outperforms the existing model. The results were tested using Mean Square Error (MSE). The proposed Second-Order Kalman Filter method has been replaced with a synchronization unit into the PMU structure to clarify the significance of the proposed new PMU.

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Section: Figure 1: Elements Of Smart Gridmentioning

confidence: 99%

“…The PMU measurements rely on synchronized time-stamped data using GPS [7]. It is used for the phasor measurement of the power system to ensure the operation of the grid's reliability.…”

Section: Figure 1: Elements Of Smart Gridmentioning

confidence: 99%