Fadi M. Albatsh, Saad Mekhilef, Shameem Ahmad, H. Mokhlis, M. A.
Hassan, 2015. Enhancing power transfer capability through flexible AC
transmission system devices: a review. Frontiers of Information Technology
& Electronic Engineering, 16(8):658-678. [doi:10.1631/FITEE.1500019].
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Enhancing power transfer capability
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through flexible AC transmission
system
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devices:hna review
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mAvailable transfer capability, Power transfer
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Key words: FACTS devices,
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capability, Artificial intelligence
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Contact: Fadi M. Albatsh
E-mail: fbatsh83@yahoo.com
ORCID: http://orcid.org/0000-0002-2999-9458
Motivation
• Global demand for power has significantly increased, but
power generation and transmission capacities have not
•
•
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Edemand.
increased proportionally with this increasing
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t
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l
E from various
As a result, power consumers suffer
&
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n frequency instability and
problems, such as voltagechand
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m
power quality issues.
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I
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n
To overcome
these
problems, the capacity for available
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F
power transfer of a transmission network should be
enhanced.
Motivation (Con’d)
• Researchers worldwide have addressed this issue by
•
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E devices.
using flexible AC transmission system (FACTS)
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t
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l
In this paper, a comprehensive review
E of how FACTS
&
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o
the available transfer
controllers are used to enhance
n
h
c
e
T transfer capability (PTC) of
capability (ATC) andmpower
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f
In
power system
networks
has been conducted.
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Review contents
• This review includes a discussion of the classification of
different FACTS devices according to different factors.
•
•
•
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n
E have been
The popularity and applications of these devices
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t
c
discussed together with relevant statistics.
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l
E
& FACTS devices and
The operating principles of sixolmajor
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e
their application in increasing
ATC and PRC have been
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o
presented.
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t
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o
Finally, we
evaluated
the performance of FACTS devices in
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F
ATC and PTC improvement with respect to different control
algorithms.
Critical analysis
• Based on the critical analysis of six major FACTS
devices (SVC, TCSC, TCPST, SSSC, STATCOM,
g UPFC)
n
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n
and their effect on ATC and PTC, the tfeatures
of each
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l
E
controller have been summarized.
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o
n
h
FACTS
controllers are also
• The behaviors of different
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m
included.
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o
f
n
I
t
n
• The research
on using d-q transformation, artificial
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F
neural networks, and fuzzy logic controllers to
increase ATC and PTC has been insufficient.
Critical analysis (Con’d)
• The combination of neural network and the fuzzy expert
systems (i.e., neuro-fuzzy systems) has good potential
for
g
n
E
n
enhancing ATC by using different FACTS
trocontrollers.
c
e
l
E
• Several studies have focusedoon
l &the steady-state model of
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h
ec
T steady-state analysis is effective
FACTS devices. However,
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r
o
nf
only for the planning
stage of power system networks.
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Fr
Therefore, it is essential to develop a dynamic model of
FACTS devices to be able to conduct the real-time analysis.
Conclusions
• We have presented an overview of FACTS devices and their
classification, and reviewed studies of their applications in
enhancing ATC from year 1990 to 2012.
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l basic structures
• The six major FACTS controllers andEtheir
•
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o
and PTC were examined.
and effects on enhancing ATC
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m
A critical analysis ofovarious
control techniques for the main
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In
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n
was investigated.
FACTS controllers
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• This survey will be helpful to researchers of ATC and PTC
enhancement through the use of FACTS controllers.