Cable Interference Analysis of Gas Insulated Substation Based on Domain Decomposition Method-Multilevel Fast Multipole Algorithm

Authors

  • Abdul Mueed College of Electrical and Information Engineering Lanzhou University of Technology, Lanzhou, GanSu 730022 China
  • Weiqiang Tang College of Electrical and Information Engineering Lanzhou University of Technology, Lanzhou, GanSu 730022 China
  • Muhammad Asif Education Department Khyber Pakhtunkhwa 25000, Pakistan
  • Rui Ma College of Electrical and Information Engineering Lanzhou University of Technology, Lanzhou, GanSu 730022 China

DOI:

https://doi.org/10.13052/2024.ACES.J.390909

Keywords:

Computational memory, computational time, domain decomposition, hybrid algorithm, interference measurement, multilevel fast multipole method, very fast transient overvoltage interference signal

Abstract

To explore cable interference in gas insulated substations (GIS), this paper proposes a reliable and efficient computational approach. The hybrid domain decomposition method-multilevel fast multipole algorithm (DDM-MLFMA) is presented herein. This technique determines the specifications of GIS cables for RG58 and AWG23. Self and mutual interference are identified utilizing very fast transient overvoltage (VFTO) transient interference signal.This hybrid technique offers a numerical simulation to replicate the impact of the VFTO interference signal. Utilizing the matrix-vector multiplication (MVX) product to address compression and approximation challenges, the hybrid approach proves reliable and pragmatic. Because of its computational nature and explicit factorization reduction, this strategy reduces computation time and memory requirements. Consequently, the system’s complexity follows a linear trend under this proposed approach. The computed results are juxtaposed with traditional methodologies to validate the effectiveness of the proposed algorithm.

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Author Biographies

Abdul Mueed, College of Electrical and Information Engineering Lanzhou University of Technology, Lanzhou, GanSu 730022 China

Abdul Mueed was born in Bhakkar, Pakistan. He received the master’s degree in electrical engineering from the University of Engineering and Technology, Taxila, Pakistan, in 2015. From 2009 to 2017, he worked as a Lecturer in Electrical Engineering at the Dr. A. Q. Khan Institute of Technology, Mianwali, Pakistan. He is currently working as a Research Scholar at Lanzhou University of Technology, Lanzhou, China. His primary research interests include electromagnetic compatibility problems, computational electromagnetics, power system transients, EMC related application in biomedical engineering, and application of artificial intelligent in EMC.

Weiqiang Tang, College of Electrical and Information Engineering Lanzhou University of Technology, Lanzhou, GanSu 730022 China

Weiqiang Tang was born in Wuzhou, China. He received the B.S. degree in Automation from Lanzhou University of Technology, Lanzhou, China, in 2003; the M.S. degree in Control Theory and Control Engineering from Lanzhou University of Technology, Lanzhou, China, in 2008; and the D.S. degree in Control Science and Engineering from Xi’an Jiaotong University, Xi’an, China, in 2012. His research interests include advanced control theory and its application and robust control.

Muhammad Asif, Education Department Khyber Pakhtunkhwa 25000, Pakistan

Muhammad Asif was born in Khyber Pakhtunkhwa, Pakistan. He received his bachelor’s degree from University of Science and Technology, Bannu, Pakistan. He has worked as BSS Engineer in ZTE. Currently working in the Education Department Khyber Pakhtunkhwa, Pakistan. His main research is related to electromagnetic computability, controller designing and power converters, and control systems.

Rui Ma, College of Electrical and Information Engineering Lanzhou University of Technology, Lanzhou, GanSu 730022 China

Rui Ma was born in Gansu, China. He received the master’s degree in control theory and engineering from Lanzhou University of Technology, Lanzhou, China, in 2024. He is currently studying for his Ph.D. at Lanzhou University of Technology, majoring in pattern recognition and intelligent systems. His main research focus are intelligent control and motion control.

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Published

2024-09-30

How to Cite

[1]
A. . Mueed, W. . Tang, M. . Asif, and R. . Ma, “Cable Interference Analysis of Gas Insulated Substation Based on Domain Decomposition Method-Multilevel Fast Multipole Algorithm”, ACES Journal, vol. 39, no. 09, pp. 831–840, Sep. 2024.

Issue

2024: Vol 39 Iss 9

Section

General Submission

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