Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143801
Title: A robust power system stabilizer for enhancement of stability in power system using adaptive fuzzy sliding mode control
Authors: Ray, Prakash K.
Paital, Shiba R.
Mohanty, Asit
Foo, Eddy Yi Shyh
Gooi, Hoay Beng
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Ray, P. K., Paital, S. R., Mohanty, A., Foo, E. Y. S., & Gooi, H. B. (2018). A robust power system stabilizer for enhancement of stability in power system using adaptive fuzzy sliding mode control. Applied Soft Computing, 73, 471-481. doi:10.1016/j.asoc.2018.08.033.
Journal: Applied Soft Computing 
Abstract: 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.
URI: https://hdl.handle.net/10356/143801
ISSN: 1568-4946
DOI: 10.1016/j.asoc.2018.08.033
Schools: School of Electrical and Electronic Engineering 
Rights: © 2018 Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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