A Review on Synchrophasor Technology for Power System Monitoring

Nasir, Mohamad Nasrun bin Mohd; Sabo, Aliyu; Wahab, Noor Izzri Abdul

doi:10.1109/scored.2019.8896339

Cited by 11 publications

(2 citation statements)

References 24 publications

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“…The largest percentage error between the real and measured distances is approximately 6.80 percent, while the majority of readings are at low percentage. More so, phase angle data only method gives better detection and computation time, the current aviation industry still using radar system in monitoring and controlling the system [17]. Foam obstacle is shown in Table 3 to represent materials that absorb ultrasonic waves by dampening their intensity or totally stopping them from reflecting, these are mostly found in stealth aircrafts and drones.…”

Section: Foam Obstaclementioning

confidence: 99%

Implementation of ranging system using ultrasonic sensor and microcontroller unit for aviation industries

Aliyu Sabo,

Ashraf A. Ahmad,

Elijah K. Ben

et al. 2023

World J. Adv. Eng. Technol. Sci.

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In the aviation industry, radio detection and ranging is employed to evaluate the height, distance, bearing, size, trajectory or velocity of both dynamic and static objects. Ultrasonic waves can also be used instead of electromagnetic waves in ultrasonic sensor. This research paper presents the real time implementation of a less-expensive ultrasonic detection and ranging system built based on Arduino Uno 328 microcontroller. It utilizes ultrasonic sensors attached to a servo motor which rotates from 00 to 3600 to detect an object in range within 400cm which passes the data to an Arduino microcontroller, this then gives visual representation on the software called Processing-3.5.4 software (Processing development Environment) java language. The Processing displays on an LED (Light Emitting Diode) screen graphical information such as bearing, size, range and position of the object depends on the proximity of the object to the ranging system. Result obtained shows a maximum a good maximum error of 7 % for the test object considered. Hence, this system can be deployed in the field.

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Section: Foam Obstaclementioning

confidence: 99%

Implementation of ranging system using ultrasonic sensor and microcontroller unit for aviation industries

Aliyu Sabo,

Ashraf A. Ahmad,

Elijah K. Ben

et al. 2023

World J. Adv. Eng. Technol. Sci.

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“…As power systems continue to develop and become more complex -Huangqing , the need for real-time monitoring and accurate estimation of grid status is increasing. As an advanced monitoring method, synchronized phasor measurement unit (PMU) technology plays a key role in power system monitoring and control bin Mohd Nasir et al (2019).…”

Section: Introductionmentioning

confidence: 99%

Dynamic phasor measurement algorithm based on high-precision time synchronization

Zhang,

Li,

Chang

et al. 2024

Front. Signal Process.

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Ensuring the swift and precise tracking of power system signal parameters, especially the frequency, is imperative for the secure and stable operation of power grids. In instances of faults within the distribution network, abrupt changes in frequency may occur, presenting a challenge for existing algorithms that struggle to effectively track such signal variations. Addressing the need for enhanced performance in the face of frequency mutations, this paper introduces an innovative approach—the Covariance Reconstruction Extended Kalman Filter (CREKF) algorithm. Initially, the dynamic signal model of electric power is meticulously analyzed, establishing a dynamic signal relationship based on high-precision time source sampling tailored to the signal model’s characteristics. Subsequently, the filter gain, covariance matrix, and variance iteration equation are determined based on the signal relationship among three sampling points. In a final step, recognizing the impact of the covariance matrix on algorithmic tracking ability, the paper proposes a covariance matrix reset mechanism utilizing hysteresis induced by output errors. Through extensive verification with simulated signals, the results conclusively demonstrate that the CREKF algorithm exhibits superior measurement accuracy and accelerated tracking speed when confronted with mutating signals.

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A critical review of methods for optimal placement of phasor measurement units

Johnson

Moger

2020

Int Trans Electr Energ Syst

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Summary Situational awareness of the electric power system is the need of the hour. This is in the wake of recent blackouts in various parts of the world. These blackouts could have been prevented with better telemetry and real‐time monitoring of power system states. A fast and reliable measuring system with devices optimally employed across the network shall enable reliable system operation. Faster situational awareness and visualization helps the system operator to take faster preventive measures and maintain system stability. Wide Area Monitoring System uses phasor measurement units (PMUs) to measure power system states. PMUs measure synchronously real‐time voltages at various buses and current phasors, which are flowing toward these buses. But, there is a need to optimally find the locations for installation of PMUs in the network for an observable system, with minimum investment. This optimal placement of PMUs (OPP) is a binary optimization problem, combinatorial in nature. In this paper, progress achieved until now in the field of OPP studies are consolidated. A discussion on the characteristics of problem formulations and shortcomings of methods and constraints considered has been done. Challenges have been highlighted to provide a good foundation for new researchers.

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A Review on Synchrophasor Technology for Power System Monitoring

Cited by 11 publications

References 24 publications

Implementation of ranging system using ultrasonic sensor and microcontroller unit for aviation industries

Implementation of ranging system using ultrasonic sensor and microcontroller unit for aviation industries

Dynamic phasor measurement algorithm based on high-precision time synchronization

A critical review of methods for optimal placement of phasor measurement units

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