DocumentCode :
2352280
Title :
Enhancing the contingency performance of HELENSÄHKÖVERKKO OY 110 KV NETWORK by optimal installation of UPFC based on Genetics Algorithm
Author :
Othman, A.M. ; Lehtonen, M. ; El-Arini, M.M.
Author_Institution :
Electr. Eng. Dept., Helsinki Univ. of Technol. (TKK), Helsinki, Finland
fYear :
2010
fDate :
25-29 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
Unified Power Flow Controller (UPFC) has a promising effect on controlling the characteristics of the power system operation. During the contingency outage cases, the transmission lines are overloaded and the buses are subjected to voltage violations. Unified Power Flow Controller (UPFC) has both shunt and series controller effect inside its frame. This option gives the 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 at the contingency of the transmission line outage. The proposed technique will be tested on the IEEE 6-bus system to show the validity of the technique. This procedure is proposed for being applied on the Finnish network, Helsinki HELENSÄHKÖVERKKO OY 110 KV NETWORK. The simulations will be achieved until operating conditions of Year 2020.
Keywords :
genetic algorithms; load flow control; power control; power transmission control; power transmission lines; voltage control; Finnish network; Helsinki HELENSÄHKÖVERKKO OY network; IEEE 6-bus system; UPFC; contingency performance; genetic algorithm; optimal installation; optimal location; power system operation; series controller effect; shunt controller effect; transmission line flow control; unified power flow controller; voltage profile control; voltage violations; Contingency Analysis; Genetic Algorithm (GA); Optimal Setting; Overloading; Ranking Process; Unified Power Flow controller (UPFC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1944-9925
Print_ISBN :
978-1-4244-6549-1
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PES.2010.5588096
Filename :
5588096
Link To Document :
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