DocumentCode :
3349980
Title :
Optimal placement of Thyristor Controlled Series Compensation in power system based on Differential Evolution algorithm
Author :
Rashed, G.I. ; Yuanzhang Sun ; Kai-Pei Liu
Author_Institution :
Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
Volume :
4
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
2204
Lastpage :
2210
Abstract :
Flexible Alternating Current Transmission Systems (FACTS) devices plays a vital role in improving the power system performance, both the static and dynamic, and enhanced the system loading capability by rerouting the power flow in the network. However, the location of these devices in the system plays a significant role to achieve such benefits, and also due to excessive cost these devices must be located optimally. This paper presents a new evolutionary optimization technique namely Differential Evolution (DE) for finding out the optimal number, the optimal locations, and the optimal parameter settings of multiple Thyristor Controlled Series Compensator (TCSC) devices to achieve a maximum system loadability in the system with minimum installation cost of these device and compare its performance with Genetic Algorithm (GA) techniques. The voltage limits for the buses and the lines thermal limits are taken as constraints during the optimization. For validate of the proposed technique simulations are performed on IEEE 6-bus and IEEE 14-bus power systems. The obtained results show that TCSC is one of the most effective series compensation devices that can significantly increase the system loadability. Also the results indicate that DE is an easy to use, fast, and robust optimization technique compared with genetic algorithm (GA).
Keywords :
evolutionary computation; flexible AC transmission systems; load flow; thyristor applications; FACTS devices; GA technique; IEEE 14-bus power system; IEEE 6-bus power system; TCSC devices; differential evolution algorithm; evolutionary optimization technique; flexible alternating current transmission systems; genetic algorithm; installation cost; optimal placement; power flow rerouting; power system performance; system loading capability; thyristor controlled series compensation; Genetic algorithms; Load flow; Optimization; Power capacitors; Power system stability; Thermal loading; Thyristors; Differential Evolution (DE); Genetic Algorithm (GA); Loadability; Power Flow; TCSC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
ISSN :
2157-9555
Print_ISBN :
978-1-4244-9950-2
Type :
conf
DOI :
10.1109/ICNC.2011.6022569
Filename :
6022569
Link To Document :
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