Damping of multimodal power system oscillations by FACTS devices using non-linear Takagi-Sugeno fuzzy controller

被引：24

作者：

Dash, PK ^{[1
]}

Mishra, S

机构：

[1] Multimedia Univ, Fac Engn, Selangor 63100, DE, Malaysia

[2] Univ Coll Engn, Burla, Sambalpur, India

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2003年 / 25卷 / 06期

关键词：

flexible AC transmission system; non-linear control; fuzzy control; Takagi-Sugeno type; damping;

D O I：

10.1016/S0142-0615(02)00084-4

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The paper presents a non-linear Takagi-Sugeno fuzzy controller for flexible AC transmission system (FACTS) devices in a multi-machine power system. This controller uses a numerical consequent rule base, which can be either linear or non-linear producing control gain variations over a very wide range. This controller is expected to be more robust and effective in damping electromechanical oscillations of the power system compared to the conventional PI controller. Digital simulations of a multi-machine power system, with series connected FACTS devices like UPFC, TCSC and TCPST, etc. subjected to a wide variety of transient disturbances validate the efficiency of the new approach in damping multimodal oscillations. (C) 2003 Elsevier Science Ltd. All rights reserved.

引用

页码：481 / 490

页数：10

共 50 条

[21] Takagi-Sugeno fuzzy generalised predictive control of a time-delay non-linear hydro-turbine governing system
Tian, Yuqiang
Wang, Bin
Zhu, Delan
Wu, Fengjiao
IET RENEWABLE POWER GENERATION, 2019, 13 (13) : 2338 - 2346
[22] Power system damping using fuzzy controlled facts devices
Kazemi, Ahad
Sohrforouzani, Mahmoud Vakili
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2006, 28 (05) : 349 - 357
[23] Power system damping using fuzzy controlled FACTS devices
Kazemi, A
Sohrforouzani, MV
2004 International Conference on Power System Technology - POWERCON, Vols 1 and 2, 2004, : 1623 - 1628
[24] Experimental Evaluation of a Takagi-Sugeno Fuzzy Controller for an EV3 Ballbot System
Enemegio, Rodolfo
Jurado, Francisco
Villanueva-Tavira, Jonathan
APPLIED SCIENCES-BASEL, 2024, 14 (10):
[25] A nonlinear Takagi-Sugeno fuzzy logic control for single machine power system
Rim Ben Salah
Omor Kahouli
Hsan Hadjabdallah
The International Journal of Advanced Manufacturing Technology, 2017, 90 : 575 - 590
[26] Generalization of parity space to fault detection based on Takagi-Sugeno fuzzy models for non-linear dynamic systems
Zarch, Majid Ghaniee
Shoorehdeli, Mahdi Aliyari
EXPERT SYSTEMS, 2018, 35 (01)
[27] Neural Adaptive Controller Applied to a VTOL Plant Using Takagi-Sugeno Fuzzy Model
Morocho-Caiza, A.
Rodriguez-Flores, J.
Hernandez-Ambato, J.
2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA), 2018, : 1155 - 1160
[28] Fuzzy Sliding Mode Controller Design Using Takagi-Sugeno Modelled Nonlinear Systems
Bououden, S.
Chadli, M.
Karimi, H. R.
MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 2013
[29] An Optimal Takagi-Sugeno Fuzzy PSS For Multi- Machine Power System
Gharaveisi, A. A.
Rafiei, S. M. R.
Barakati, S. M.
2008 40TH NORTH AMERICAN POWER SYMPOSIUM (NAPS 2008), 2008, : 136 - +
[30] Robust Takagi-Sugeno fuzzy control design for non-linear networked control systems with asynchronous premise variables
Kim, Sung Hyun
IET CONTROL THEORY AND APPLICATIONS, 2013, 7 (06): : 910 - 919

← 1 2 3 4 5 →