DocumentCode :
2717576
Title :
Optimal UPFC based on Genetics Algorithm to improve the steady-state performance of HELENSÄHKÖVERKKO OY 110 KV NETWORK at increasing the loading pattern
Author :
Othman, Ahmed M. ; Lehtonen, Matti ; El-Arini, Mahdi M.
Author_Institution :
Electr. Power Dept., Helsinki Univ. of Technol., Espoo, Finland
fYear :
2010
fDate :
16-19 May 2010
Firstpage :
162
Lastpage :
166
Abstract :
Flexible Alternating Current Transmission Systems (FACTS) devices represent very high efficient tools for controlling the operations and enhancing the performances of the electrical power network. Unified Power Flow Controller (UPFC) is considered as the most powerful member of the FACTS family, where it has both shunt and series controller inside its frame. This option gives to UPFC the power to control the voltage profile and the transmission lines flow simultaneously. In this paper, we use the Genetics Algorithm (GA) to find the optimal location and the optimal settings of UPFC to improve the performance of the power system specially solving the transmission lines overloading during normal operation and configuration at increasing the loading conditions. This procedure is proposed to be applied on Helsinki HELENSÄHKÖVERKKO OY 110 KV NETWORK until the operating conditions of Year 2020. To show the validity of the technique, it will be tested on the IEEE 6-bus system.
Keywords :
Control systems; Genetic algorithms; Load flow; Optimal control; Power system interconnection; Power systems; Power transmission lines; Static VAr compensators; Steady-state; Voltage control; Genetic Algorithm (GA); Increasing loading pattern; Loadability; Optimal location; Optimal setting; Unified Power Flow controller (UPFC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2010 9th International Conference on
Conference_Location :
Prague, Czech Republic
Print_ISBN :
978-1-4244-5370-2
Electronic_ISBN :
978-1-4244-5371-9
Type :
conf
DOI :
10.1109/EEEIC.2010.5489990
Filename :
5489990
Link To Document :
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