TY - JOUR
T1 - Characterization of Defects Inside the Cable Dielectric with Partial Discharge Modeling
AU - Khan, Qasim
AU - Refaat, Shady S.
AU - Abu-Rub, Haitham
AU - Toliyat, Hamid A.
AU - Olesz, Marek
AU - Darwish, Ahmad
N1 - Funding Information:
Manuscript received May 1, 2020; accepted September 8, 2020. Date of publication September 30, 2020; date of current version November 23, 2020. This work was supported by NPRP through the Qatar National Research Fund (a member of Qatar Foundation) under Grant 10-0101-170085. The Associate Editor coordinating the review process was Dr. Lorenzo Ciani. (Corresponding author: Qasim Khan.) Qasim Khan is with the Department of Electrical Engineering, Texas A&M University, College Station, TX 77840 USA, and also with the Department of Electrical Engineering, Texas A&M University, Doha, Qatar (e-mail: [email protected]).
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2021
Y1 - 2021
N2 - The continuous monitoring of power system devices is an important step toward keeping such capital assets safe. Partial discharge (PD)-based measurement tools provide a reliable and accurate condition assessment of power system insulations. It is very common that voids or cavities exist in every solid dielectric insulation medium. In this article, different voids are modeled and analyzed using an advanced finite element (FE)-based computational algorithm. The proposed approach can be used to measure PD in cavities and voids regardless of their shape and size. The frequentative scripting approach with finite element modeling (FEM) provides the results which satisfy all PD conditions. PD behavior has been studied and analyzed through PD statistical features obtained from the simulated PD signal. A comparative study between simulated and experimental results is also performed to validate the accuracy of the proposed modeling approach. To further improve the accuracy of the model, the influence and optimization of certain free parameters required for modeling has been carried out. The article shows how PD is greatly influenced by the shape and size of voids in dielectric insulators. The research realized in this article further provides the PD statistical features and its variation with respect to void shape and size. These features are utilized for the assessment of insulation quality. The variation in PD parameters with respect to voltage level is also presented and discussed.
AB - The continuous monitoring of power system devices is an important step toward keeping such capital assets safe. Partial discharge (PD)-based measurement tools provide a reliable and accurate condition assessment of power system insulations. It is very common that voids or cavities exist in every solid dielectric insulation medium. In this article, different voids are modeled and analyzed using an advanced finite element (FE)-based computational algorithm. The proposed approach can be used to measure PD in cavities and voids regardless of their shape and size. The frequentative scripting approach with finite element modeling (FEM) provides the results which satisfy all PD conditions. PD behavior has been studied and analyzed through PD statistical features obtained from the simulated PD signal. A comparative study between simulated and experimental results is also performed to validate the accuracy of the proposed modeling approach. To further improve the accuracy of the model, the influence and optimization of certain free parameters required for modeling has been carried out. The article shows how PD is greatly influenced by the shape and size of voids in dielectric insulators. The research realized in this article further provides the PD statistical features and its variation with respect to void shape and size. These features are utilized for the assessment of insulation quality. The variation in PD parameters with respect to voltage level is also presented and discussed.
KW - Cable
KW - finite element modeling (FEM)
KW - partial discharge (PD)
KW - solid dielectric
KW - void
UR - http://www.scopus.com/inward/record.url?scp=85096798758&partnerID=8YFLogxK
U2 - 10.1109/TIM.2020.3027925
DO - 10.1109/TIM.2020.3027925
M3 - Article
AN - SCOPUS:85096798758
SN - 0018-9456
VL - 70
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
M1 - 9210022
ER -