A robust power system stabilizer for enhancement of stability in power system using adaptive fuzzy sliding mode control

被引:60
作者
Ray, Prakash K. [1 ]
Paital, Shiba R. [2 ]
Mohanty, Asit [3 ]
Eddy, Foo Y. S. [4 ]
Gooi, Hoay Beng [4 ]
机构
[1] Nanyang Technol Univ, Cambridge CARES, Singapore, Singapore
[2] IIIT, Dept Elect Engn, Bhubaneswar, India
[3] CET, Dept Elect Engn, Bhubaneswar, India
[4] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
基金
新加坡国家研究基金会;
关键词
Adaptive fuzzy sliding mode control; Power system stabilizer (PSS); Single machine infinite bus (SMIB); Multimachine stability; EXCITATION CONTROL; DESIGN; PSS;
D O I
10.1016/j.asoc.2018.08.033
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents design of power system stabilizer (PSS) based on conventional fuzzy-PID and type-1 fuzzy controller for stability improvements in single as well as multimachine power system connected to infinite bus under different loading conditions. Again, fuzzy and integral sliding mode controllers (FSMC and I-SMC) are being incorporated with PSS into the power system to improve the stability performance. But, the presence of chattering in this controller may lead to low frequency oscillations of smaller magnitudes that can sustain to disturb the power transfer capability and the stability of the system. Therefore, to enhance the performance and efficiency of the power system, a novel adaptive fuzzy sliding mode controller with a robust sliding surface is designed to overcome the possible chattering due to system uncertainties and dynamics. In the proposed adaptive fuzzy sliding mode controller (AFSMC), the stability is ensured through Lyapunov analysis and synthesis test. In addition to the graphical simulation analysis, a quantitative stability approach and real-time test using OPAL-RT OP5600 is also carried out in order to augment the stability study. Further, stability test using eigen modes, root locus and Bode plots are presented to assess the stability performance of the proposed controller. Both the qualitative and quantitative analysis ensures better and robust performance of proposed controllers in comparison to the conventional fuzzy-PID and type-1 fuzzy controller. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:471 / 481
页数:11
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