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
来源
2016 8TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN) | 2016年
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
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