An Adaptive Dynamic Phasor Estimator Considering DC Offset for PMU Applications

Kun, Rui; Fu, Ling; Zhang, Dong; Kirby, Brian; Bo, Z.Q.

doi:10.1109/tpwrd.2011.2119334

Cited by 46 publications

(15 citation statements)

References 15 publications

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“…The PMU also provides various performance levels such that Class-P is the faster PMU and class-M is the slower PMU filter designs as discussed in paper [19]. In order to have a synchronize phasor, the author referred to [20] and [21] as to study the proposed algorithms that comply or achieved the similar requirements. Alongside of the study, the key performance index which is the Total Vector Error (TVE) is also being highlighted by the author such as the step and frequency response (gain and phase) characteristics covered under the amplitude and the phase modulation [22].…”

Section: Measurement Of Smart Gridmentioning

confidence: 99%

A Recent Development of Monitoring Devices on Smart Grid

Awalin

Rahmat

2020

E3S Web Conf.

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Reliability, safe and continuous electrical power supply are always bound to disruption and the urged of the advancement in technology has made developed countries to keep align with their current system especially in electrical power network. High demand in electrical technology has made researchers to find approach in inventing a smart meter measurement as to which technically has a big impact towards consumers. Considering the revolution of IoT sensing technology could aid the communication between the operator and the grid efficiently. Thus, the advancement of technology will boost the performance in wide area monitoring system.

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Section: Measurement Of Smart Gridmentioning

confidence: 99%

A Recent Development of Monitoring Devices on Smart Grid

Awalin

Rahmat

2020

E3S Web Conf.

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“…E.g. [28] uses least-squares techniques (proposed in [19]), with a high computational burden that can be mitigated using lookup tables. In [20], equations are used to calculate accurate estimates of the fundamental, but since the DFT is conventional the harmonic rejection does not adapt to off-nominal frequencies.…”

Section: B Other Proposed Pmu Algorithmsmentioning

confidence: 99%

P and M Class Phasor Measurement Unit Algorithms Using Adaptive Cascaded Filters

Roscoe

Abdulhadi

Burt

2013

IEEE Trans. Power Delivery

148

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The new standard C37.118.1 lays down strict performance limits for phasor measurement units (PMUs) under steady-state and dynamic conditions. Reference algorithms are also presented for the P (performance) and M (measurement) class PMUs. In this paper, the performance of these algorithms is analysed during some key signal scenarios, particularly those of off-nominal frequency, frequency ramps, and harmonic contamination. While it is found that total vector error (TVE) accuracy is relatively easy to achieve, the reference algorithm is not able to achieve a useful ROCOF (rate of change of frequency) accuracy. Instead, this paper presents alternative algorithms for P and M class PMUs which use adaptive filtering techniques in real time at up to 10 kHz sample rates, allowing consistent accuracy to be maintained across a ±33% frequency range. ROCOF errors can be reduced by factors of >40 for P class and >100 for M class devices.

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“…The DC offset or exponential decaying DC is modeled to decrease the influence of fault [27]. However, the transient could be more than this behavior, especially considering the fault current contributed by IBRs could significantly differ from synchronous machines.…”

Section: Introductionmentioning

confidence: 99%

Recent Development of Frequency Estimation Methods for Future Smart Grid

Zhao

Zhan

Yin

et al. 2020

IEEE Open J. Power Energy

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The frequency estimated by the Phasor Measurement Unit (PMU) is a critical index of power system status and supports many smart grid applications. The future smart grid features high penetration of renewables and more fast-moving power electronics inverters but raises challenges to the reliable frequency estimation. This paper presents three methods to address these challenges. First, an enhanced zero-crossing algorithm was developed to track the fast-changing frequency in system dynamics. Second, we propose a technology that can tolerate the system transient and suppress the outliers. Third, an algorithm was developed to export high time-resolution frequency estimations with minimum computational effort. All of the proposed methods are realized in hardware and compared with classical frequency estimation methods. The testing results indicate that the proposed methods have excellent performance. They can be used in future PMUs and provide reliable and high time resolution data for smart grid applications.

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An Adaptive Dynamic Phasor Estimator Considering DC Offset for PMU Applications

Cited by 46 publications

References 15 publications

A Recent Development of Monitoring Devices on Smart Grid

A Recent Development of Monitoring Devices on Smart Grid

P and M Class Phasor Measurement Unit Algorithms Using Adaptive Cascaded Filters

Recent Development of Frequency Estimation Methods for Future Smart Grid

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