Evaluation of Nonlinearity and Complexity in SSTs systems

被引:0
作者
El-Mezyani, T. [1 ]
Wilson, R. [1 ]
Leonard, J. [1 ]
Edrington, C. [1 ]
Srivastava, S. [1 ]
Khazraei, M. [2 ]
Qin, H. [2 ]
Kimball, J. [2 ]
Ferdowsi, M. [2 ]
机构
[1] Florida State Univ, Ctr Adv Power Syst, 2000 Levy Ave, Tallahassee, FL 32306 USA
[2] Missouri Univ Sci & Technol, Rolla, MO 65409 USA
来源
2012 IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON) | 2012年
基金
美国国家科学基金会;
关键词
Complexity; Nonlinear dynamics; stability; SSTs; Approximate Entropy; STRANGE ATTRACTORS; ENTROPY;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper addresses the complexity and nonlinear dynamics that may arise in solid state transformers (SST). SST in contrast to the conventional transformer is prone to nonlinear and complex dynamics due to incorporation of power electronic (PE) converter and devices. This is because of nonlinear nature, interdependence and coupling, and feedbacks (e.g. control) of these converters. In this paper, the nonlinear and complex behavior of a SST connected to the power grid will be investigated by presenting some test results in normal or extreme operation of system. Then a methodology of complexity quantification will be proposed, which is a refinement of a popular measure called approximate entropy (ApEn). This methodology will be used to interpret some complex behavior of SST system. The detailed model and control scheme of SST including AC/DC rectifier, Dual Active Bridge (DAB) converter and DC/AC inverter are developed to enable dynamic system level simulation.
引用
收藏
页码:428 / 434
页数:7
相关论文
共 10 条
[1]   LOCAL FALSE NEAREST NEIGHBORS AND DYNAMIC DIMENSIONS FROM OBSERVED CHAOTIC DATA [J].
ABARBANEL, HDI ;
KENNEL, MB .
PHYSICAL REVIEW E, 1993, 47 (05) :3057-3068
[2]   ERGODIC-THEORY OF CHAOS AND STRANGE ATTRACTORS [J].
ECKMANN, JP ;
RUELLE, D .
REVIEWS OF MODERN PHYSICS, 1985, 57 (03) :617-656
[3]   MEASURING THE STRANGENESS OF STRANGE ATTRACTORS [J].
GRASSBERGER, P ;
PROCACCIA, I .
PHYSICA D, 1983, 9 (1-2) :189-208
[4]   ESTIMATION OF THE KOLMOGOROV-ENTROPY FROM A CHAOTIC SIGNAL [J].
GRASSBERGER, P ;
PROCACCIA, I .
PHYSICAL REVIEW A, 1983, 28 (04) :2591-2593
[5]   Nonlinear dynamics, delay times, and embedding windows [J].
Kim, HS ;
Eykholt, R ;
Salas, JD .
PHYSICA D, 1999, 127 (1-2) :48-60
[6]  
Mao Iaolin, 2010, POW EN SOC GEN M 201, P1
[7]  
Mao Xiaolin, 2010, POW EN SOC GEN M 201, P1
[8]   APPROXIMATE ENTROPY AS A MEASURE OF SYSTEM-COMPLEXITY [J].
PINCUS, SM .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1991, 88 (06) :2297-2301
[9]  
Takens F., 1981, Lecture Notes in Mathematics, P366, DOI [10.1007/bfb0091924, DOI 10.1007/BFB0091924, 10.1007/BFb0091924]
[10]   Chaos in small-world networks [J].
Yang, XS .
PHYSICAL REVIEW E, 2001, 63 (04) :462061-462064