DocumentCode
1758999
Title
Hybrid optimisation method for optimal power flow using flexible AC transmission system devices
Author
Chao-Ming Huang ; Yann-Chang Huang
Author_Institution
Dept. of Electr. Eng., Kun Shan Univ., Tainan, Taiwan
Volume
8
Issue
12
fYear
2014
fDate
12 2014
Firstpage
2036
Lastpage
2045
Abstract
This study proposes a hybrid optimisation method for optimal power flow using a flexible AC transmission system (FACTS). The FACTS plays an important role in the dynamic stability and steady-state control of power systems. This study achieves steady-state control by determining the types and the optimal locations of the FACTS devices and their associated values in the transmission lines. To determine the optimal solutions to the FACTS allocation problem, a hybrid optimisation method that combines a harmony search algorithm and an ant system is proposed. The objective functions of power flow considered are the active power transmission loss, the performance index of the active power flow in the transmission lines and the performance index of the voltage difference between buses. The proposed method was verified on the IEEE 30-bus and Taiwan Power Company 345 kV simplified systems. The results demonstrate that the proposed method improves the total transfer capability and provides better steady-state control of power systems than existing methods do.
Keywords
ant colony optimisation; flexible AC transmission systems; load flow control; optimal control; power system stability; power transmission control; power transmission lines; search problems; FACTS allocation problem; IEEE 30-bus system; Taiwan Power Company; active power transmission loss; ant system; dynamic stability; flexible AC transmission system device; harmony search algorithm; hybrid optimisation method; optimal power flow; steady-state power system control; transmission line; voltage 345 kV; voltage bus difference;
fLanguage
English
Journal_Title
Generation, Transmission & Distribution, IET
Publisher
iet
ISSN
1751-8687
Type
jour
DOI
10.1049/iet-gtd.2014.0096
Filename
6985859
Link To Document