A new computer based Phasor Measurement Unit framework

Ouadi, Abderrahmane; Bentarzi, Hamid; Maun, Jean Claude

doi:10.1109/ssd.2009.4956773

Cited by 14 publications

(9 citation statements)

References 3 publications

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“…The fast and accurate measurements of the phasor are still considered in a contemporary topic of research interest. In literature, there are various methods used in phasor estimation such as the Discrete Fourier Transform (recursive and non-recursive) [5], Newton method [35], Kalman filtering [9], level tracking, least square algorithm [36], Neural networks and others [37].…”

Section: Different Phasor Measurement Techniquesmentioning

confidence: 99%

“…Using the DFT algorithm, researchers have focused their efforts on studying the gain frequency response in terms of suppressing the effect of harmonics included in the AC voltage on phase detection [9], [10]. However, the absolute phase detected by the DFT, especially recursive DFT, may involve considerable error during input signal dynamics and system disturbances, which may be excluded from µPMU.…”

Section: Introductionmentioning

confidence: 99%

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Study of Different Estimation Techniques for a Micro-Phasor Measurement Unit Implementation

Bentarzi

Mahboubi

Ouadi

2022

International Journal on Applied Physics and Engineering

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Distribution power networks are very complex, due to the great number nodes, short distances, and small amplitude and phase angle differences between nodes, faster dynamics and lack of standard documentation. Thus, these complexities have raised the need to develop new Phasor Measurement Unit (PMU) called Micro-Phasor Measurement Unit (μPMU) with high accuracy and high precision. In this work, several estimation techniques have been investigated so far for improving effectiveness and accuracy of this micro-PMU.

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Section: Different Phasor Measurement Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study of Different Estimation Techniques for a Micro-Phasor Measurement Unit Implementation

Bentarzi

Mahboubi

Ouadi

2022

International Journal on Applied Physics and Engineering

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“…SCADA was utilized in prior stages. These had a couple of disadvantages like the estimations were not time synchronized, they give just size and there was no information on phase angle [4], it was not dynamic as it was giving one sample in 2-4 seconds, gives just neighborhood observing and control. These disadvantages are overwhelmed with the development of PMU.…”

Section: Fig2 Illustrates a Generic Pmu Structurementioning

confidence: 99%

Placement of PMU Optimally and Detection of Events in Power System

R*¹,

Lakshmikantha²,

Sundar³

2019

IJITEE

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Smart grid is an advanced electrical supply system in which data is conveyed bi directionally utilizing computerized correspondence innovation. Observing, investigating, controlling and correspondence happens inside the inventory network accordingly improving proficiency, lessening vitality utilization and so on. A Phasor Measurement Unit (PMU) measures electrical signals in system. PMUs are utilized in the transmission side of the system. These are introduced at different places on the network and are time synchronized utilizing Global Positioning System (GPS). Thus real time synchronized continuous estimations are obtained from different estimation points on the network. PMU helps in automating the system. A system of PMUs called Wide Area Measurement System (WAMS) can be utilized for huge scale monitoring of the network. Power outages and load shedding in the system can avoided.PMUs can synchronously gauge voltage and current, phase angle, power, energy import & export, frequency, frequency deviations, etc. These parameters can be utilized to tell about the state of the system. The optimal placement of PMUs & Event detection techniques from the synchronized PMU data are determined using MATLAB software. Programming PMUs to detect the events in the system & placing it optimally can help diminish the huge expense and equipment intricacy.

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“…PMU has become more attractive to power system engineers because it can provide time synchronized measurements of voltage and current phasors. Synchronization is achieved by same time sampling of voltage and current waveforms using timing signals obtained from the Global Positioning Systems (GPS) [19][20][21]. PMU is one of the most important measuring devices that provide synchronized phasor measurements of voltages and currents in real time from widely spread locations in an electric network.…”

Section: Voltage Stability Monitoring and Control Using Pmu Technmentioning

confidence: 99%

On-line voltage stability monitoring and control in smart grid — A survey

Sahu

Verma

2015

2015 IEEE UP Section Conference on Electrical Computer and Electronics (UPCON)

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Most of the work on voltage stability assessment of power systems has concentrated on offline studies. With advancement in Phasor Measurement Unit (PMU) technology, it is quite possible to assess voltage stability margin of real time systems in smart grid. This paper has addressed on different works going on in the area of voltage stability monitoring and control using PMU technology. The report in this paper has elaborated on different methodologies which have been proposed in literature for optimal placement of PMUs for control of voltage stability margin in smart grid. The paper sets new scope for promising researchers for the best utilization of PMUs in online voltage stability monitoring and control in smart grid architecture.

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A new computer based Phasor Measurement Unit framework

Cited by 14 publications

References 3 publications

Study of Different Estimation Techniques for a Micro-Phasor Measurement Unit Implementation

Study of Different Estimation Techniques for a Micro-Phasor Measurement Unit Implementation

Placement of PMU Optimally and Detection of Events in Power System

On-line voltage stability monitoring and control in smart grid — A survey

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