Paper Info
Title
Mitigation of low frequency oscillations in power systems based on Mamdani fuzzy inference
Abstract
Several methods have been proposed and implemented to improve the power system stability. Based on the theory of proportional-integral-derivative (PID) excitation control and the composition principle of fuzzy PID controller, a novel PID controller based on Mamdani fuzzy inference (MFPID) is proposed in this paper. The proposed controller realizes the self-adjustment of the excitation controller parameter. Furthermore, the MFPID and power system stabilizer (PSS) subsection switch control strategy (MFPID-PSS) is presented based on the advantages of PSS and MFPID. In MFPID-PSS strategy, by switching the control strategy between MFPID and PSS at appropriate moment, the MFPID-PSS method acquires the overshoot as small as PSS, and at the same time acquires the adjusting time as short as MFPID. The simulation results demonstrate that the MFPID-PSS method improves the power system stability and has better mitigation effect for low frequency oscillations in power systems after disturbances.
Year
DOI
Venue
2019
10.1177/0142331219826668
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
Keywords
DocType
Volume
Low frequency oscillations,power systems,MFPID,MFPID-PSS
Journal
41.0
Issue
ISSN
Citations 
12
0142-3312
0
PageRank 
References 
Authors
0.34
8
5
Name
Order
Citations
PageRank
Hong-Liang Gao100.68
Xi-Sheng Zhan201.01
Yi-Ran Yuan300.34
Zi-Jie Pan400.34
Guo-Long Yuan500.34