Monitoring Fault Diagnosis Based on Phasor Measurement Unit at Wide Area Systems

Zakri, Azriyenni Azhari; Mustafa, Mohd Wazir; Syaibi, Herman; Sofimieari, Ibim

doi:10.1109/cencon47160.2019.8974748

Cited by 3 publications

(4 citation statements)

References 8 publications

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“…At the same time, the simulation was run under three-phase short circuit fault conditions and tested on the IEEE 9-bus system with variations of 10%, 30%, 50%, 70%, and 90% distances. Subsequently, the simulation results were used as input for fault diagnosis to determine the location of fault points on the IEEE 9-bus system [2].…”

Section: Introductionmentioning

confidence: 99%

“…However, the system added DG sourced from solar cells in the existing distribution network and was developed with the help of Matlab/Simulink software. Zakri et al studied the development of PMU-based research for monitoring voltage and current parameters for system stability as applied to research, monitoring fault diagnosis based on PMU on Wide Area Systems (WAP) [2]. Meanwhile, Iswadi et al analysed Prony parameters for identification based on PMU simulated using the existing system [5].…”

Section: Introductionmentioning

confidence: 99%

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Distributed Generation installed by the Phasor Measurement Unit to improve voltage

Zakri

Saputra

Saini

et al. 2022

Sinergi

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This study is intended to design a system connected to the Distributed Generation (DG) sourced from solar cells, using Matlab/Simulink. A Phasor Measurement Unit (PMU) is installed in the DG system to monitor the phasor voltage and current. Furthermore, the system comprises four buses with two 20 kV load voltages, two amplifying transformers, and four transmission lines. The DG's role is to keep the power supply to the load stable and improve power efficiency by reducing power losses on the network. However, in this network, the DG increases the current on each bus. Thus, affecting voltage increase on each bus, consequently increasing the stress experienced by both loads. The DG-connected system simulation on PMU-3 & PMU-4 has a minute error value of 0.02% and is slightly higher than the unconnected simulation. This comparison also shows the positive sequence values of the phasor currents as well as phasor voltages before and after the DG connection. The DG system connected to the PMU has monitored voltage and current for PLN and DG systems based on the simulation results. Therefore, installing the DG can increase the line voltage, especially on the load.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distributed Generation installed by the Phasor Measurement Unit to improve voltage

Zakri

Saputra

Saini

et al. 2022

Sinergi

Self Cite

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“…Several methods have been applied to determine the location of faults on a power transmission line and an example of these methods is the Phasor Measurement Unit (PMU) which is part of the current and voltage values in the control center while the application system uses IEEE 9-bus [3,4]. Some other hybrid techniques which have been implemented include Discrete Wavelet Transformation (DWT) and Support Vector Machine (SVM) [5,6] as well as several others applied in electric power transmission lines.…”

Section: Introductionmentioning

confidence: 99%

“…Some other hybrid techniques which have been implemented include Discrete Wavelet Transformation (DWT) and Support Vector Machine (SVM) [5,6] as well as several others applied in electric power transmission lines. Moreover, fault diagnosis has been monitored in Wide Area System using the Phasor Measurement Unit (PMU) with measurements conducted by monitoring, controlling, and protecting as well as through the combination of the functions of the phasor measuring device [4,7] while the fault in hybrid electrical network is usually detected based on GPS and PMU [8][9][10]. The 3-phase faults in electrical power distribution networks are detected through a combination of discrete variables and Particle Swarm Optimization (PSO) while the proposed algorithm has been reported to be accurate to estimate the magnitude and angle of the network bus voltage [11].…”

Section: Introductionmentioning

confidence: 99%

The Estimate of Fault Location based on Transmission Tower Coordinates

2022

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This study was conducted to predict the fault location based on tower coordinates using the Artificial Neural Network (ANN). The electrical power system modeled made use of an actual system including 150 kV transmission line with KP bus to the GS bus and 64 km length while ANN technique was used to coordinate the points for the fault location on the electric power transmission line due to its ability to predict what will happen in the future based on the pattern of past events. The ANN was tested and trained at certain iterations with different data which were simulated for short circuit fault type at several locations to achieve the best value. The results obtained with fault location coordinates were in the form of latitude and longitude while the simulation results for the AG fault were at 0.0381 km distance starting from the KP bus to the GS bus at 8,246 kA. Moreover, the estimated error values were found in the 2-phase fault to the ground at 4.01×10- 3 % while the ANN structure performance showed the MSE value to be 2.08 - 4 % with a very small error value of 0.57 % and this means it is included in the existing standard tolerance category. The data validation of this system modeling was conducted on the short circuit current value between simulation and theoretical estimation.

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Fault Location for Three-Ended Ring-Topology Power System Using Minimum GPS-Based Measurements and CVT/CT Sensing

2021

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Monitoring Fault Diagnosis Based on Phasor Measurement Unit at Wide Area Systems

Cited by 3 publications

References 8 publications

Distributed Generation installed by the Phasor Measurement Unit to improve voltage

Distributed Generation installed by the Phasor Measurement Unit to improve voltage

The Estimate of Fault Location based on Transmission Tower Coordinates

Fault Location for Three-Ended Ring-Topology Power System Using Minimum GPS-Based Measurements and CVT/CT Sensing

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