Please cite this article in press as: B.V. Kumar, N.V. Srikanth, A hybrid approach for optimal location and capacity of UPFC to improve
the dynamic stability of the power system, Appl. Soft Comput. J. (2016), http://dx.doi.org/10.1016/j.asoc.2016.09.031
ARTICLE IN PRESS
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ASOC-3830; No. of Pages 13
Applied Soft Computing xxx (2016) xxx–xxx
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Applied Soft Computing
journal homepage: www.elsevier.com/locate/asoc
A hybrid approach for optimal location and capacity of UPFC to
improve the dynamic stability of the power system
B. Vijay Kumar
a,∗
, N.V. Srikanth (Associate Professor)
b
a
National Institute of Technology, Warangal, India
b
Department of Electrical Engineering, National Institute of Technology, Warangal, India
a r t i c l e i n f o
Article history:
Received 9 October 2014
Received in revised form 19 January 2016
Accepted 21 September 2016
Available online xxx
Keywords:
FA
CS
Power loss
Voltage
GSA
Dynamic stability
UPFC
Real power
Reactive power
a b s t r a c t
In this document, the Firefly Algorithm (FA) and Cuckoo Search (CS) algorithm based on optimal location
and the capacity of UPFC to improve the dynamic stability of the power system are proposed. The novelty
of the proposed method is exemplified in the improved searching ability, random reduction and reduced
complexity. In this regard, the generator fault affects the system dynamic stability constraints such as
voltage, power loss, real and reactive power. Here, the FA technique optimizes the maximum power
loss line as the suitable location of the UPFC. The affected location parameters and dynamic stability
constraints are restored into secure limits using the optimum capacity of the UPFC, which in turn, has
been optimized with reduced cost by using the CS algorithm. The attained capacity of the UPFC has been
located in the affected location and the power flow of the system analyzed. The proposed method is
implemented in the MATLAB/Simulink platform and tested under IEEE 30 and IEEE 14 standard bench
mark system. The proposed method performance is evaluated by comparison with those of different
techniques such as ABC-GSA, GSA-Bat, Bat-FA and CS algorithms. The comparison results invariably prove
the effectiveness of the proposed method and confirm its potential to solve the related problems.
© 2016 Elsevier B.V. All rights reserved.
1. Introduction
Electric power systems have been forced to work to more or
less their full capacities around the world due to the environmen-
tal and economic limitations to upright new generating plants and
transmission lines [2,3]. The amount of electric power by safety
and steadiness restraints, that can be passed on between two posi-
tions via a transmission network is limited [1]. Power flow in the
lines and transformers should not be allowed to increase to a level
where an arbitrary incident could cause the network fall down as
cascaded outages [4,5]. The system is assumed to be blocked when
such a limit attains. Managing obstruction to decrease the restric-
tions of the transmission network in the forceful market has, thus,
turn into the central movement of systems operators [6]. It has
been analyzed that the insufficient management of dealings could
increase the congestion cost which is an extra burden on customers
[7].
For managing the power transmission system, Flexible Alter-
nating Current Transmission System (FACTS) is a fixed device that
is applied [8,9]. FACTS is recognized as “a power electronic based
∗
Corresponding author.
E-mail address: bairuvijaykumar@gmail.com (B.V. Kumar).
system and other fixed device that present control of one or more
AC transmission system parameters to develop controllability and
magnify power transfer capability” [10]. The different types of
FACTS devices available for this purpose includes Static Var Com-
pensator (SVC), Thyristor controlled series Capacitor (TCSC), Static
Synchronous series compensator (SSSC), Static Synchronous Com-
pensator (STATCOM), Unified Power Flow Controller (UPFC) and
Interlink Power Flow Controller (IPFC) [12]. UPFC is one of the FACTS
devices among them, that can administer the power flow in trans-
mission line by including active and reactive voltage component in
chain with the transmission line [11,13].
New opportunities for controlling power and enhancing the uti-
lizable capacity of surviving transmission lines are discharged up
by the look of FACTS tools [14]. An optimal location of UPFC device
allows to control its power streams for an interconnected network,
and as a result to increase the system load ability [15]. Alternatively,
a limit number of devices, away from which this load ability can in
no way be improved, has been analyzed [16]. The optimal location
and optimal capacity of a particular number of FACTS in a power
system is a hinder of combinatorial revise [18,19]. Different types
of optimization algorithm have been used to effort out this kind of
problem, such as genetic algorithms, reproduced annealing, tabu
search and etc [17,20].
http://dx.doi.org/10.1016/j.asoc.2016.09.031
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