Applications of synchrophasor technologies in power systems

Usman, Muhammad Usama; Faruque, M. Omar

doi:10.1007/s40565-018-0455-8

Cited by 106 publications

(53 citation statements)

References 108 publications

(115 reference statements)

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“…İ′ mM e jδ + İ′ nM U̇′ mM e jδ + U̇′ nM = İ″ mM e j(δ + Dp) + İ″ nM U̇″ mM e j(δ + Dp) + U̇″ nM = Y 2 (10) Note that in order to ensure that (10) can be solved, the PMU data of two snapshots should not be same. It is recommended to use PMU data with different operation conditions at t 1 and t 2 .…”

Section: B Estimation Model For Time-varying Pad Deviation At Differmentioning

confidence: 99%

Online Pattern Recognition and Data Correction of PMU Data Under GPS Spoofing Attack

Xue

et al. 2020

Journal of Modern Power Systems and Clean Energy

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Smart grids are increasingly dependent on data with the rapid development of communication and measurement. As one of the important data sources of smart grids, phasor measurement unit (PMU) is facing the high risk from attacks. Compared with cyber attacks, global position system (GPS) spoofing attacks (GSAs) are easier to implement because they can be exploited by portable devices, without the need to access the physical system. Therefore, this paper proposes a novel method for pattern recognition of GSA and an additional function of the proposed method is the data correction to the phase angle difference (PAD) deviation. Specifically, this paper analyzes the effect of GSA on PMU measurement and gives two common patterns of GSA, i.e., the step attack and the ramp attack. Then, the method of estimating the PAD deviation across a transmission line introduced by GSA is proposed, which does not require the line parameters. After obtaining the estimated PAD deviations, the pattern of GSA can be recognized by hypothesis tests and correlation coefficients according to the statistical characteristics of the estimated PAD deviations. Finally, with the case studies, the effectiveness of the proposed method is demonstrated, and the success rate of the pattern recognition and the online performance of the proposed method are analyzed.

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Section: B Estimation Model For Time-varying Pad Deviation At Differmentioning

confidence: 99%

Online Pattern Recognition and Data Correction of PMU Data Under GPS Spoofing Attack

Xue

et al. 2020

Journal of Modern Power Systems and Clean Energy

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“…Unintentional islanding occurs in fault conditions and equipment failures [64]. Active and passive methods are used for islanding detection [65]. PMUs are very helpful for islanding detection and fast distributed generator (DG) disconnection from the grid (within only 2 s) based on the IEEE Standard 157-2008 [66].…”

Section: Microgrid Operationmentioning

confidence: 99%

A Comprehensive Survey on Phasor Measurement Unit Applications in Distribution Systems

et al. 2019

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Synchrophasor technology opens a new window for power system observability. Phasor measurement units (PMUs) are able to provide synchronized and accurate data such as frequency, voltage and current phasors, vibration, and temperature for power systems. Thus, the utilization of PMUs has become quite important in the fast monitoring, protection, and even the control of new and complicated distribution systems. However, data quality and communication are the main concerns for synchrophasor applications. This study presents a comprehensive survey on wide-area monitoring systems (WAMSs), PMUs, data quality, and communication requirements for the main applications of PMUs in a modern and smart distribution system with a variety of energy resources and loads. In addition, the main challenges for PMU applications as well as opportunities for the future use of this intelligent device in distribution systems will be presented in this paper.

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“…As discussed in this paper, those FIR filters are difficult to implement in an FPGA when a high sampling frequency is used. Usman [4] shows a version of IEC/IEEE Std Figure D.1 but does not discuss the filters. Messina [21] uses a phase locked loop (PLL) to change the local oscillator (LO) frequency to track the mains frequency and thus remove any accuracy degradation caused by the mains frequency and the LO frequency being different.…”

Section: Related Workmentioning

confidence: 99%

“…Monti, Roscoe, and Sadu [2] give a good background of PMU requirements and their performance measurement processes. Phadke [3], Usman [4], and Pigati [5] show how PMUs can be used to detect power system faults and operate protection relays thus maintaining the stability and reliability of the power network. The book "Phasor Measurement Units and Wide Area Monitoring Systems" [6] gives a good background on the use of PMUs in power systems.…”

Section: Introductionmentioning

confidence: 99%

A Phasor Measurement Unit Algorithm Using IIR Filters for FPGA Implementation

Kikkert

2019

Electronics

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Phasor measurement units (PMU) are increasingly used in electrical power transmission networks, to maintain stability and protect the network. PMUs accurately measure voltage, phase, frequency, and rate of change of frequency (ROCOF). For reliability, it is desirable to implement a PMU using an FPGA. This paper describes a novel algorithm, suited to implementation in an FPGA and based on a simple PMU block diagram. A description of its realization using low hardware complexity infinite impulse response (IIR) filters is given. The IEC/IEEE standard 60255-118-1:2018 Part 118-1: Synchrophasor measurements for power systems, describes "reference" Finite Impulse Response (FIR) filters for implementing PMU hardware. At the 10 kHz sampling frequency used for our implementation, each "reference" FIR filter requires 100 multipliers, while an 8th order IIR filter only requires 12 multipliers. This paper compares the performance of different order IIR filter-based PMUs with the performance of the same PMU algorithm using the IEC/IEEE FIR reference filter. The IIR-based PMU easily satisfies all the requirements of IEC/IEEE standard and has a much better out of band signal rejection performance than a FIR-based PMU. Steady state errors for a rated voltage ± 10% and a rated frequency ± 5 Hz are < 0.000001% for total vector error (TVE) and < 1 µHz for frequency, with a latency of two mains cycles.

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Applications of synchrophasor technologies in power systems

Cited by 106 publications

References 108 publications

Online Pattern Recognition and Data Correction of PMU Data Under GPS Spoofing Attack

Online Pattern Recognition and Data Correction of PMU Data Under GPS Spoofing Attack

A Comprehensive Survey on Phasor Measurement Unit Applications in Distribution Systems

A Phasor Measurement Unit Algorithm Using IIR Filters for FPGA Implementation

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