Optimal Location of TCSC to Improve Voltage Stability and Voltage Profile
Author(s):
Nikunj B. Marviya
Keywords:
Power system, Transmission system, FACTS, TCSC, Firing Angle, Heuristic algorithms (GA,PSO& DA).
Abstract
With the inter connection of the power system ,thecomplexity increases day by day. The increasing of the load also favours to the complexity of power system. The complexity of the power system can easily handled by analyzing the performance of the transmission system by using load flows. The real and reactive power losses are largely effected at the transmission level. With the advancement in power electronics, the advanced compensation devices are improved which are called FACTS. 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. In this paper, we propose three Evolutionary Optimization Techniques, namely Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Dragonfly Algorithm (DA) to select the optimal location and the optimal parameter setting of TCSC, , firing angle of TCSC and size of the TCSC which minimize the active power losses and improves the voltage profiles in the power network, 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
Article Details
Unique Paper ID: 146185

Publication Volume & Issue: Volume 4, Issue 11

Page(s): 1620 - 1625
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies