PMU Location Determination in a Hybrid PMU-SCADA System

Wakti, Muhamad Hazrirrahman; Putranto, Lesnanto Multa; Hadi, Sasongko Pramono; Yasirroni, Muhammad; Marsiano, Akmalazakia Fatan Derana

doi:10.1109/icitee49829.2020.9271728

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…In accordance with the optimal PMU placement outlined in refs. [27][28][29][30]. As shown in Figure 3, in the IEEE-14 system, PMUs are placed at the optimal placement points of nodes 2, 6, 7, and 9.…”

Section: Pmu Observability Issuesmentioning

confidence: 99%

Power System State Estimation Based on Fusion of PMU and SCADA Data

Zhu,

Gao,

et al. 2024

Energies

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This paper introduces a novel hybrid filtering algorithm that leverages the advantages of Phasor Measurement Units (PMU) to address state estimation challenges in power systems. The primary objective is to integrate the benefits of PMU measurements into the design of traditional power system dynamic estimators. It is noteworthy that PMUs and Supervisory Control and Data Acquisition (SCADA) systems typically operate at different sampling rates in power system estimation, necessitating synchronization during the filtering process. To address this issue, the paper employs a predictive interpolation method for SCADA measurements within the framework of the Extended Kalman Filter (EKF) algorithm. This approach achieves more accurate estimates, closer to real observation data, by averaging the KL distribution. The algorithm is particularly well-suited for state estimation tasks in power systems that combine traditional and PMU measurements. Extensive simulations were conducted on the IEEE-14 and IEEE-30 test systems, and the results demonstrate that the fused estimator outperforms individual estimators in terms of estimation accuracy.

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Section: Pmu Observability Issuesmentioning

confidence: 99%

Power System State Estimation Based on Fusion of PMU and SCADA Data

Zhu,

Gao,

et al. 2024

Energies

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“…Due to this, stress on the transmission lines is increasing, differentiating normal and fault conditions is di cult, and knowing of power ow in the transmission lines in which direction is also complex [3]. Conventional power system monitoring methods SCADA and Energy Management Systems (EMS) give limited awareness about the power system in a steady state view [4]. In real time the voltage and current signals are continuous signals, and the instantaneous magnitude and phase angles of these signals change continuously.…”

Section: Introductionmentioning

confidence: 99%

Development and Implementation of Synchronized Phasor Measurements for Dynamic State Power System Monitoring and Fault Identification

Ponnala,

Chakravarthy,

Babu

et al. 2024

Preprint

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In real time the magnitude and phase angle of the voltage and current signals vary continuously. The measurement of magnitude and phase angles of these signals are very important for the visualization of real-time power systems pictorially and knowing dynamic power flow studies. This work presents the measurement of the voltage and current signal's magnitude and phase angles with time synchronization. The magnitude and phase angle are represented with a single quantity phasor. For the measurement of phasor values two different techniques are used, they are Recursive Discrete Fourier Transform (RDFT), and Non-Recursive Discrete Fourier Transform (NRDFT). With the RDFT the phasor (magnitude and phase angle) values are constant with time variation, with fixed load and constant supply. By varying the load or source the magnitude of the phasor is changed and the phase angle is constant. The values obtained from these results are used for the dynamic power flow calculation of the power system. With the NRDFT the phasor magnitude is constant the phase angle values are varying (rotating) with a speed of (ωt) and with a step of (1/N). The values obtained with this method are used for real-time power system visualization. The values obtained from the RDFT and NRDFT are time-stamped with GPS time. With GPS time stamping, the measurements are time synchronized, and real-time visualization of the power system is obtained.

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