@Article{2018.100000015,
AUTHOR = {R. Rohini, Dasari Narasimha Rao, S. Ravi, V. Sampath Kumar},
TITLE = {Development of Available Transfer Capability Enhancement Using  Intelligent Genetic Algorithm for IEEE Bus System},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {3},
PAGES = {433--440},
URL = {http://www.techscience.com/iasc/v25n3/39673},
ISSN = {2326-005X},
ABSTRACT = {Improving Available Transfer Capability is an important issue in the deregulated
power systems. The Available Transfer Capability of a transmission network is 
the transfer capabilities of a transmission network for the transfer of power for 
further commercial activity, over and above already committed usage. It is a 
proven fact that Flexible Alternating Current Transmission System technology 
can control voltage magnitude, phase angle, and circuit reactance. Therefore, it 
is important to investigate the impact of Flexible Alternating Current 
Transmission System controllers on the available transfer capability. This paper 
is focuses on the evaluation impact of Thyristor controlled switched capacitors
and static var compensators in the network. A real-coded genetic algorithm 
tested on IEEE 14 Bus System, and IEEE 24 bus system is used to analyze the 
transfer capability and enhancement in two modes, one with line outage and 
another without line outage on the flexible alternating current transmission 
network to obtain optimum results. In a competitive (deregulated) power 
market, the location of these devices and their control can significantly affect 
the operation of the system.},
DOI = {10.31209/2018.100000015}
}