DocumentCode
2402987
Title
Optimal location of TCSC and SVC for enhancement of ATC in a de-regulated environment using RGA
Author
MadhusudhanaRao, G. ; Ramarao, P. Vijaya ; Kumar, T. Jayanth
Author_Institution
Dept. Of EEE, K L Univ., Guntur, India
fYear
2010
fDate
28-29 Dec. 2010
Firstpage
1
Lastpage
6
Abstract
In this paper the use of TCSC and SVC to maximize Available Transfer Capability (ATC) generally defined as the maximum power transfer transaction between a specific power-seller and a power-buyer in a network during normal and contingency cases. In this paper, ATC is computed using Continuous Power Flow (CPF) method considering both line thermal limit as well as bus voltage limits. Real-code Genetic Algorithm is used as the optimization tool to determine the location as well as the controlling parameter of TCSC or SVC simultaneously. The performance of the Real-code Genetic Algorithm has been tested on IEEE 24-Bus Reliability Test System. Improving of ATC is an important issue in the current de-regulated environment of power systems. The Available Transfer Capability (ATC) of a transmission network is the unutilized transfer capabilities of a transmission network for the transfer of power for further commercial activity, over and above already committed usage. Power transactions between a specific seller bus/area and a buyer bus/area can be committed only when sufficient ATC is available. ATC can be limited usually by heavily loaded circuits and buses with relatively low voltages. It is well known that FACTS technology can control voltage magnitude, phase angle and circuit reactance. Using these devices may redistribute the load flow, regulating bus voltages. Therefore, it is worthwhile to investigate the impact of FACTS controllers on the ATC.
Keywords
flexible AC transmission systems; genetic algorithms; load flow; maximum power point trackers; transmission networks; ATC; FACTS controllers; RGA; SVC; TCSC; available transfer capability; continuous power flow method; maximum power transfer; optimal location; real-code genetic algorithm; transmission network; Biological cells; Load flow; Power capacitors; Shunt (electrical); Static VAr compensators; Thyristors; ATC; Load flows; Real-code Genetic Algorithm; SVC; TCSC; power seller/buyer;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4244-5965-0
Electronic_ISBN
978-1-4244-5967-4
Type
conf
DOI
10.1109/ICCIC.2010.5705874
Filename
5705874
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