A New Discharge Pattern for the Characterization and Identification of Insulation Defects in GIS

Yao, Rui; Hui, Meng; Li, Jun; Bai, Lin; Wu, Qiong

doi:10.3390/en11040971

Cited by 13 publications

(9 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mean and Maximum Amplitude, Repetition Rate and Standard Deviation - [74] Proposed a method of PD source separation and classification the power ratio maps applied in [73] acquisition instruments, large amounts of information can be acquired and processed in modern monitoring systems. Therefore, in addition to the combination of classifiers, current research has sought to extract the best hit rates of classifiers from the development of algorithms for optimal combination of different input features, which can be obtained from PRPD, PRPSA [86], PCPRA [87] graphics or through further analysis of the detected PD UHF signals [83], [88].…”

Section: Prpd Analysismentioning

confidence: 99%

Detection, Classification and Location of Sources of Partial Discharges Using the Radiometric Method: Trends, Challenges and Open Issues

et al. 2021

View full text Add to dashboard Cite

In this article, we provide a comprehensive survey on the most relevant research in the area of detection, classification and location of partial discharge (PD) sources using the radiometric or ultra high frequency (UHF) method, focusing mainly on the works related to the use of antennas. To the best of the authors knowledge, this is the first review paper that focuses on the application of antennas based on UHF method in the complete diagnosis of PD. Specifically, we first present the main contributions to the development and optimization of UHF sensors for application in the detection of PD sources. Second, articles that used the UHF method to identify different types of PD in high voltage equipment are described. Finally, the main contributions regarding the location of sources of defects using the radiometric method are presented. Summary of works in the area of UHF detection sensors, PD classification and PD location, with their respective contributions, are shown. Finally, research trends, challenging and open issues are discussed. The purpose of this article is to provide important information about the complete diagnosis of PD, which could be used to guide the development of more efficient techniques in this research area.

show abstract

Section: Prpd Analysismentioning

confidence: 99%

Detection, Classification and Location of Sources of Partial Discharges Using the Radiometric Method: Trends, Challenges and Open Issues

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The PRPD pattern is obtained according to 100 power frequency cycles of the PRPS data sample. Finally, the polar coordinate phase resolved analysis (PCPRA) pattern is obtained [12]. , as shown in Figure 4 (c).…”

Section: B Pd Patterns Acquisitionmentioning

confidence: 99%

“…to identify the PD types The steps of extracting feature parameters based on the PCPRA pattern are as follows: First, the PCPRA spectrum is classified into two cluster discharge data sets using the Kmeans clustering algorithm. Then Centroid describes the average discharge level of each discharge cluster, as shown in Figure 5 to identify the PD types [12] .…”

Section: B Pd Patterns Acquisitionmentioning

confidence: 99%

Feature Selection Based on Random Forest for Partial Discharges Characteristic Set

Yao

Li²,

Hui

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

Since the dimension of combined feature set for partial discharge (PD) pattern recognition is higher, the corresponding sample size increases, as does the required amount of storage space and calculation, and there are features with less category-related characteristics in the feature parameters, which may contain redundant information between them. To solve the problem of higher feature dimension and complicated classification model required for the identification of partial discharge insulation defect type in this paper. Random forest sequential forward selection method based on variance analysis (RF-VA) is proposed for the optimal subset selection. This method is improved in two aspects. Firstly, a method based on variance analysis is proposed, which measures feature differences between categories, and obtains a modified arrangement displacement scheme to guide rearrangement of the order of values taken on data sample out of bag. Secondly, the sequence forward search method used to do feature selection could get iteration evaluation results, which solves randomness to determine the size of feature subset and instability of the results existing in the original algorithm. The results show RF-VA can obtain a better subset of features. It is feasible to reduce the dimension of partial discharge characteristic set, and effectively improve the identification rate of partial discharge defect type.

show abstract

“…Cooke et al [22] investigated the surface flashover on post-type support spacer for GIL and proved that it can be reduced by placing MI, however, the concept of MI and its effect on electric field at TJ is carried out for cone type spacer in a single-phase GIS also the same can to be analyzed in three-phase GIB. Some of the researchers [23][24][25] have identified some defects like metal depression will be produced inevitably due to irregularities of GIS spacers during the installation and operation of GIS. These metal depressions along with suspended particles can cause distortion of the electric field over the spacer surface and hence high electric field stress inside GIS, which leads to Partial discharge and breakdown.…”

Section: Introductionmentioning

confidence: 99%

Study of electric field stress on the surface contour and at the triple junction in three phase GIS with FGM spacer under the depression defect

Pakalapati¹,

Gundavarapu

Duvvada³

et al. 2020

International Journal of Emerging Electric Power Systems

View full text Add to dashboard Cite

Now days, the establishment of spacers is in wide usage in three-phase Gas Insulated Busduct (GIB) for providing mechanical support and better insulation to the conductors. The region of the intersection of SF6 gas, enclosure end and the spacer is one of the weakest links in GIB, so the major concentration is done on minimization of electric field stress at this junction by using Functionally Graded Material (FGM) technique. The other incidents of insulation failures are due to several defects like depression, delamination etc. reduces the dielectric strength of the spacers. In this paper, an FGM post type spacer has been designed for a three-phase GIB under depression and further electric field stress at Triple Junction (TJ) is reduced by introducing a metal insert (MI) nearer to the TJ. Several filler materials are used as doping materials for obtaining different permittivity values using FGM technique to achieve uniform electric field stress. Simulation is carried out for the designed spacer at various operating voltages with different types of FGM gradings. The effect of depression with different dimensions and positions is analyzed before and after inserting MI to the FGM post type spacer in three-phase GIB.

show abstract

A New Discharge Pattern for the Characterization and Identification of Insulation Defects in GIS

Cited by 13 publications

References 26 publications

Detection, Classification and Location of Sources of Partial Discharges Using the Radiometric Method: Trends, Challenges and Open Issues

Detection, Classification and Location of Sources of Partial Discharges Using the Radiometric Method: Trends, Challenges and Open Issues

Feature Selection Based on Random Forest for Partial Discharges Characteristic Set

Study of electric field stress on the surface contour and at the triple junction in three phase GIS with FGM spacer under the depression defect

Contact Info

Product

Resources

About