2006
DOI: 10.1016/j.epsr.2005.05.012
|View full text |Cite
|
Sign up to set email alerts
|

Hybrid micro-GA based FLCs for TCSC and UPFC in a multi-machine environment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
7
0

Year Published

2009
2009
2019
2019

Publication Types

Select...
8
2

Relationship

1
9

Authors

Journals

citations
Cited by 31 publications
(7 citation statements)
references
References 9 publications
0
7
0
Order By: Relevance
“…Khon and Lo used a fuzzy damping controller designed by micro Genetic Algorithm (GA) for TCSC and UPFC to improve powers system low frequency oscillations. The proposed method may not have enough robustness due to its simplicity against the different kinds of uncertainties and disturbances [12]. Mok et al applied a GA-based Proportional-Integral (PI) type fuzzy controller for UPFC to enhance power system damping.…”
Section: Low Frequency Oscillations Damping By Upfc With Gapod and Gamentioning
confidence: 99%
“…Khon and Lo used a fuzzy damping controller designed by micro Genetic Algorithm (GA) for TCSC and UPFC to improve powers system low frequency oscillations. The proposed method may not have enough robustness due to its simplicity against the different kinds of uncertainties and disturbances [12]. Mok et al applied a GA-based Proportional-Integral (PI) type fuzzy controller for UPFC to enhance power system damping.…”
Section: Low Frequency Oscillations Damping By Upfc With Gapod and Gamentioning
confidence: 99%
“…Both Unified Power Flow Controller (UPFC) and Thyristor Controlled Series Capacitor (TCSC) have been widely used to dampen low-frequency oscillations. Adding an auxiliary controller to FACTS will considerably increase the power system damping [5]. However, the damping of oscillations in a power system is greatly affected by the parameters of the FACTS-based stabilizers and their locations within the network.…”
Section: Introductionmentioning
confidence: 98%
“…However, their performance may decline due to the wide-ranging and rapidly varying operating conditions of the highly nonlinear and stochastic nature of the power system [17]. The linear optimal control schemes are based on the system model, which is linearized at a specific operating point and suffers the same drawbacks and limitations as classical control [18]. Robust control improves the performance of classical POD control.…”
Section: Introductionmentioning
confidence: 99%