PMU-based Harmonic Phasor Calculation and Harmonic Source Identification

Li, Shurong; Sun, Yuanyuan; Qin, Shanmeng; Shi, Fang; Zhang, Hengxu; Xu, Qingshen; Xie, Wei; Zhang, Yong

doi:10.1109/ei2.2018.8582140

Cited by 6 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A novel algorithm for calculating harmonic phasors using PMUs based on the principle of fundamental phasor calculation was proposed in [195]. By accurately calculating harmonic phasors, this algorithm enables the efficient utilization of PMU calculation resources and enhances the overall functionality of PMUs in power system monitoring and control.…”

Section: Harmonic Measurementsmentioning

confidence: 99%

Real-Time Grid Monitoring and Protection: A Comprehensive Survey on the Advantages of Phasor Measurement Units

et al. 2023

View full text Add to dashboard Cite

The emerging smart-grid and microgrid concept implementation into the conventional power system brings complexity due to the incorporation of various renewable energy sources and non-linear inverter-based devices. The occurrence of frequent power outages may have a significant negative impact on a nation’s economic, societal, and fiscal standing. As a result, it is essential to employ sophisticated monitoring and measuring technology. Implementing phasor measurement units (PMUs) in modern power systems brings about substantial improvement and beneficial solutions, mainly to protection issues and challenges. PMU-assisted state estimation, phase angle monitoring, power oscillation monitoring, voltage stability monitoring, fault detection, and cyberattack identification are a few prominent applications. Although substantial research has been carried out on the aspects of PMU applications to power system protection, it can be evolved from its current infancy stage and become an open domain of research to achieve further improvements and novel approaches. The three principal objectives are emphasized in this review. The first objective is to present all the methods on the synchro-phasor-based PMU application to estimate the power system states and dynamic phenomena in frequent time intervals to observe centrally, which helps to make appropriate decisions for better protection. The second is to discuss and analyze the post-disturbance scenarios adopted through better protection schemes based on accurate and synchronized measurements through GPS synchronization. Thirdly, this review summarizes current research on PMU applications for power system protection, showcasing innovative breakthroughs, addressing existing challenges, and highlighting areas for future research to enhance system resilience against catastrophic events.

show abstract

Section: Harmonic Measurementsmentioning

confidence: 99%

Real-Time Grid Monitoring and Protection: A Comprehensive Survey on the Advantages of Phasor Measurement Units

et al. 2023

View full text Add to dashboard Cite

show abstract

“…At this point, the distribution of each harmonic was tested using the AD test, as described in Section 3. The x j s used in (11) represent each of the three computed error metrics. Tables 2-4 show the AD test results for both sensors.…”

Section: Anderson-darling: Testing For Normalitymentioning

confidence: 99%

“…There have been works published on the estimation of harmonic phasors in the form of A h = A h e jφ h , in which the harmonic h amplitude A h , phase φ h , frequency f h , and sometimes ROCOF ROCOF h are the variables of interest [9][10][11][12][13][14][15][16][17]. In [18,19], harmonic phasors are modeled as complex exponential functions and solved via a least-squares approach applied to sampled frequency-domain models of the harmonic phasors.…”

Section: Introductionmentioning

confidence: 99%

Non-Parametric Statistical Analysis of Current Waveforms through Power System Sensors

Wilson

Warmack

Ekti

et al. 2022

Sensors

View full text Add to dashboard Cite

The protection, control, and monitoring of the power grid is not possible without accurate measurement devices. As the percentage of renewable energy sources penetrating the existing grid infrastructure increases, so do uncertainties surrounding their effects on the everyday operation of the power system. Many of these devices are sources of high-frequency transients. These transients may be useful for identifying certain events or behaviors otherwise not seen in traditional analysis techniques. Therefore, the ability of sensors to accurately capture these phenomena is paramount. In this work, two commercial-grade power system distribution sensors are investigated in terms of their ability to replicate high-frequency phenomena by studying their responses to three events: a current inrush, a microgrid “close-in”, and a fault on the terminals of a wind turbine. Kernel density estimation is used to derive the non-parametric probability density functions of these error distributions and their adequateness is quantified utilizing the commonly used root mean square error (RMSE) metric. It is demonstrated that both sensors exhibit characteristics in the high harmonic range that go against the assumption that measurement error is normally distributed.

show abstract

“…It can be observed that the real and the imaginary parts of the computed h th harmonic phasor (ah and bh) does not take into consideration the frequency deviation and thus, FFT technique does not provide exact values of magnitude and phase angle. It will always have errors, because in practical cases the rated frequency and the actual frequency is not always the same [1].…”

Section: Figure 2 Flow Chart For Assessing Phasors Using Fftmentioning

confidence: 99%

Comparative Analysis of Phasor Estimation Techniques for PMU Applications

Parthasarathy

Saranathan

Annamalai

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Phasor Measurement Units (PMU) are valuable sources of data which increase the visibility into several fields of application such as power production, transmission and distribution. With the initial goal of obtaining phasor values at fixed points in the network and syncing it to a standard time frame, the technology has morphed into an all-encompassing unit, which has its uses in the field of protection, control and automation. With the application of these units becoming a standard benchmark, the improvement in the current available units is a huge requirement. This study presents a comprehensive analysis of various techniques that is used for the estimation of phasors.

show abstract

PMU-based Harmonic Phasor Calculation and Harmonic Source Identification

Cited by 6 publications

References 5 publications

Real-Time Grid Monitoring and Protection: A Comprehensive Survey on the Advantages of Phasor Measurement Units

Real-Time Grid Monitoring and Protection: A Comprehensive Survey on the Advantages of Phasor Measurement Units

Non-Parametric Statistical Analysis of Current Waveforms through Power System Sensors

Comparative Analysis of Phasor Estimation Techniques for PMU Applications

Contact Info

Product

Resources

About