Mitigation of congestion in deregulated power system using facts controller
Loading...
Date
item.page.authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Congestion is a main constraint in deregulated power system which
newlineoccurs due to insufficient power transmission to fulfill the market demand
newlineleading to voltage instability, power loss, short circuit, line overload and may
newlinealso cause total system failure. So, in order to enhance the system stability,
newlinepower flow capability and quality, congestion management methods are to be
newlineemployed. Lately, usage of FACTS controllers in the congested line has
newlineproven to improve the performance of deregulated power system. Among the
newlinevarious FACTS controllers, TCSC shows a promising role in reducing the
newlinecongestion by enhancing the power flow in transmission and distribution lines,
newlineminimizing the power losses and improvising the voltage profile. However,
newlinethe challenging part of using FACTS controllers is to find an optimal location
newlinewhich in case failed may lead to huge capital cost. Therefore, as a maiden
newlineattempt, this limitation is tried to be rectified by using optimization algorithms
newlinefor finding the best location to mitigate the congestion cost effectively. The
newlineunderlying motivation of this thesis is to manage the congestion in
newlinederegulated power system using three different phases that are depicted
newlinehereinafter.The initial phase of work was started with choosing an optimal
newlinelocation for the TCSC controller using the seeker and particle swarm
newlineoptimization algorithm for an IEEE-30 bus and 33 bus radial systems
newlinerespectively. The comparative results proved the effectiveness of seeker over
newlineparticle swarm optimization algorithm in mitigating the congestion by optimal
newlineplacing of TCSC.Owing to the advantage of precise convergence capability of genetic
newlinealgorithm, the second phase research was carried out placing the TCSC based
newlineon the better performance index provided by the GA optimization algorithm.
newlineThe performance index is based on both the real and reactive power, in
newlinedetermining the optimal TCSC location. This was tested and proved using
newlineIEEE-6, IEEE-14 and IEEE-30 bus systems.
newline
newline