Flexible
Alternating Current Transmission Systems (FACTS) devices have been
proposed as an effective solution for controlling power flow and
regulating bus voltage in electrical power systems, resulting in an
increased transfer capability, low system losses, and improve stability.
However, to what extent the performance of FACTS devices can be brought
out highly depends upon the location and the parameters of these
devices. The design uses three optimization algorithm i.e. Gravitational
Search Algorithm (GSA),Grey Wolf Algorithm(GWA) and Firefly
Algorithm(FA).The
main objective of this work is to determine the optimal location and
the optimal parameter setting of the Thyristor Controlled Series
Compensator (TCSC) in the power network to minimize the loss of the
power system and compare their performances.
To show the validity of the proposed techniques and for comparison
purposes, simulations are carried out on IEEE-57 bus power system. The
results are presented in the simulation video demo as given below. Reference Paper-1: Optimal location of FACTS device using Meta Heuristic Search Algorithm Author’s Name: A. S. Siddiqui, Tanmoy Deb, and Fahad Iqbal Source: IEEE Year:2015 Reference Paper-2: Power Flow Analysis of Simulink IEEE 57 Bus Test System Model using PSAT Author’s Name: R. Anand and V. Balaji Source: Indian Journal of Science and Technology Year:2015 Reference Paper-3: Optimal Location and Parameter Setting of TCSC for Loss Minimization Based on Differential Evolution and Genetic Algorithm Author’s Name: Ghamgeen I. Rashed ,Yuanzhang Sun and, H. I. Shaheen Source: Elsevier Year:2012 Reference Paper-4: An Improved Grey Wolf Optimizer Based on Differential Evolution and Elimination Mechanism Author’s Name: Jie-Sheng Wang and Shu-Xia Li Source: Scientific Reports Year:2019 Reference Paper-5: Optimal Allocation of Multiple Distributed Generators in Distribution System using Firefly Algorithm Author’s Name: Sureshkumar Sudabattula and Kowsalya M Source: Journal of Electrical Engineering Year:2017
Request source code for academic purpose, fill REQUEST FORM or contact +91 7904568456 by WhatsApp or sales@verilogcourseteam.com, fee applicable. SIMULATION
VIDEO DEMO-GRAVITATIONAL SEARCH ALGORITHM
SIMULATION
VIDEO DEMO-GREY WOLF ALGORITHM
SIMULATION
VIDEO DEMO-FIREFLY ALGORITHM
SIMULATION
VIDEO DEMO-3 ALGORITHM COMPARISON

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