A Comparison of Model-order Reduction Techniques for Multiphase Transmission Line Systems

被引:1
|
作者
Ramlal, Craig J. [1 ]
Singh, Arvind [1 ]
Rocke, Sean [1 ]
Ibrir, Salim [2 ]
机构
[1] Univ West Indies, Dept Elect & Comp Engn, St Augustine, Trinidad Tobago
[2] King Fand Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia
关键词
Model-order Reduction (MoR); Functional and signal norms measures; Three phase transmission system; System theory; SINGULAR PERTURBATION APPROXIMATION;
D O I
10.1109/CICN.2016.95
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Transmission line models for simulations are necessary for designing and controlling modern power systems. However, the orders of these models are very large and their simulations are recognized to be computationally intensive. This paper compares ten model-order reduction methods with eight measures for a three phase transmission line system. Two test cases were developed, the first forces all model-order reduction methods to reduce the original system to a reduced system with the same order and the second keeps a constant chosen error bound and compares the performance of the reduced obtained systems. The main differences between the different procedures are identified and illustrated on quantitative levels.
引用
收藏
页码:459 / 465
页数:7
相关论文
共 50 条
  • [1] A Study of Model-Order Reduction Techniques for Verification
    Chou, Yi
    Chen, Xin
    Sankaranarayanan, Sriram
    NUMERICAL SOFTWARE VERIFICATION, NSV 2017, 2017, 10381 : 98 - 113
  • [2] AN EFFICIENT MODEL-ORDER REDUCTION APPROACH TO LOW-FREQUENCY TRANSMISSION LINE MODELING
    Remis, R.
    PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, 2010, 101 : 139 - 155
  • [3] Model-order reduction algorithm with structure preserving techniques
    Lai, Ming-Hong
    Chu, Chia-Chi
    Feng, Wu-Shiung
    2006 IEEE Asia Pacific Conference on Circuits and Systems, 2006, : 1607 - 1610
  • [4] Model-order reduction for hyperbolic relaxation systems
    Grundel, Sara
    Herty, Michael
    INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION, 2023, 24 (07) : 2763 - 2780
  • [5] Model-order reduction techniques for linear electromagnetic problems - An overview
    Simeoni, M.
    Vandenbosch, G. A. E.
    Lager, I. E.
    35TH EUROPEAN MICROWAVE CONFERENCE, VOLS 1-3, CONFERENCE PROCEEDINGS, 2005, : 1133 - 1136
  • [6] Applications of AOGL model-order reduction techniques in interconnect analysis
    Lai, Ming-Hong
    Chu, Chia-Chi
    Feng, Wu-Shiung
    2007 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, 2007, : 1133 - +
  • [7] Efficient Simulation of Nonlinear Transmission Lines via Model-Order Reduction
    Nouri, Behzad
    Nakhla, Michel S.
    Achar, Ramachandra
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2017, 65 (03) : 673 - 683
  • [8] Hierarchical Model-Order Reduction Flow
    Honkala, Mikko
    Miettinen, Pekka
    Roos, Janne
    Neff, Carsten
    SCIENTIFIC COMPUTING IN ELECTRICAL ENGINEERING SCEE 2008, 2010, 14 : 539 - +
  • [9] Applications and Comparison of Model-Order Reduction Methods based on Wavelets and POD
    Florez, Horacio
    Argaez, Miguel
    2016 ANNUAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY (NAFIPS), 2016,
  • [10] An Model-order Reduction Algorithm for PEEC
    Yeung, Lap K.
    2013 IEEE ELECTRICAL DESIGN OF ADVANCED PACKAGING AND SYSTEMS SYMPOSIUM (EDAPS), 2013, : 181 - 184