Partial Discharge Investigation of a Power Transformer Using Wireless Wideband Radio-Frequency Measurements

Moore, P.J.; Portugues, I.E.; Glover, Ian

doi:10.1109/tpwrd.2005.848438

Cited by 69 publications

(45 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As shown in Figure 3, projection of the antenna array in xoy plane is Y-shape, and A4' is the projection of A4. Assuming that PD source is at the (20,10,3), the time delay sequence can be calculated to be (27.01, 37.94, 15.20) T (unit: ns), substitute the time delay sequence to the localization equations, the assumed location can be accurately solved.…”

Section: Quantitative Analysis Of the Influence Of Antenna Array Arramentioning

confidence: 99%

See 1 more Smart Citation

Design Method of Partial Discharge Localization System in Power Substation

Gao¹,

Sun²,

Qian³

et al. 2017

dteees

View full text Add to dashboard Cite

Abstract:The measurement and diagnosis of partial discharge (PD) is accepted as one of the most valuable means for assessing the quality of high voltage power apparatus and its running status. However, the current partial discharge monitoring mainly based on equipment, which needs multi-process test equipment, high cost, and large maintenance engineering. This paper introduced the use of four antennas array to receive ultra-high frequency (UHF) signal, and define 3-D coordinate system, then located PD source in the field of the substation, Furthermore, this paper discussed the principles of the location algorithm based on time difference, analyzed the origin of its location error, then the connection of location error and the placement of antenna array and the error of time difference has been discussed theoretically. Finally, this paper provided the optimal placement of the radio frequency antenna array.

show abstract

Section: Quantitative Analysis Of the Influence Of Antenna Array Arramentioning

confidence: 99%

“…Now we compare the localization error caused by error of wave head time of the UHF signal received by 1 st antenna at different height of the 4 th antenna, when the sampling rate is 1.5GHz. Assuming that PD source is at (20,10,3), the localization results are shown in Table.2.…”

Section: Quantitative Analysis Of the Influence Of Antenna Array Arramentioning

confidence: 99%

Design Method of Partial Discharge Localization System in Power Substation

Gao¹,

Sun²,

Qian³

et al. 2017

dteees

View full text Add to dashboard Cite

show abstract

“…전 세계적으로 예방진단기술을 전력용 변 압기에 적용하기위하여 연구가 활발히 진행되고 있 으며 [1][2][3][4][5], 최근에는 극초단파신호 (ultra high frequency, UHF)를 이용한 부분방전 검출기술이 변 a. Corresponding author; juhjun@kepco.co.kr 압기 고장예방에 적용되고 있다 [6,7] …”

Section: 서 론 1)unclassified

Partial Discharge Electromagnetic Wave Penetration Characteristics Throughout Transformer Winding

Ju¹,

Han²,

Yoon³

2010

Journal of the Korean Institute of Electrical and Electronic Ma

View full text Add to dashboard Cite

Frequency domain measurement of propagation loss for ultra high frequency (UHF) partial discharge in the winding of power transformer using a spectrum analyzer and pulse generator is presented. We compared the performance of the method using a network analyzer with and without a winding. Using a network analyzer simplifies the measurement and offers better dynamic range and frequency range. It also provides precise propagation loss within the winding in frequency domain at UHF range. We applied this method to measure UHF propagation loss of transformer mock-up, modeled 154 kV 20 MVA power in KEPCO substation.

show abstract

“…Partial discharges (PD) are well known as a source of insulation degradation and the major sources for insulation failure in power transformers, which play important role in electric power system [1,2]. The capital cost of a power transformer is relatively high and economic penalty due to transformer failure and consequent outage is remarkable.…”

Section: Introductionmentioning

confidence: 99%

Locating Pd in Transformers through Detailed Model and Neural Networks

Nafisi

Abedi

Gharehpetian

2014

Journal of Electrical Engineering

View full text Add to dashboard Cite

In a power transformer as one of the major component in electric power networks, partial discharge (PD) is a major source of insulation failure. Therefore the accurate and high speed techniques for locating of PD sources are required regarding to repair and maintenance. In this paper an attempt has been made to introduce the novel methods based on two different artificial neural networks (ANN) for identifying PD location in the power transformers. In present report Fuzzy ARTmap and Bayesian neural networks are employed for PD locating while using detailed model (DM) for a power transformer for simulation purposes. In present paper PD phenomenon is implemented in different points of transformer winding using threecapacitor model. Then impulse test is applied to transformer terminals in order to use produced current in neutral point for training and test of employed ANNs. In practice obtained current signals include noise components. Thus the performance of Fuzzy ARTmap and Bayesian networks for correct identification of PD location in a noisy condition for detected currents is also investigated. In this paper RBF learning procedure is used for Bayesian network, while Markov chain Monte Carlo (MCMC) method is employed for training of Fuzzy ARTmap network for locating PD in a power transformer winding and results are compared.

show abstract

Partial Discharge Investigation of a Power Transformer Using Wireless Wideband Radio-Frequency Measurements

Cited by 69 publications

References 4 publications

Design Method of Partial Discharge Localization System in Power Substation

Design Method of Partial Discharge Localization System in Power Substation

Partial Discharge Electromagnetic Wave Penetration Characteristics Throughout Transformer Winding

Locating Pd in Transformers through Detailed Model and Neural Networks

Contact Info

Product

Resources

About