DocumentCode
3243094
Title
Optimal location and capacity of STATCOM for voltage stability enhancement using ACO plus GA
Author
Lin, Whei-Min ; Lu, Kai-Hung ; Huang, Cong-Hui ; Ou, Ting-Chia ; Li, Yuan-Hui
Author_Institution
Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
fYear
2009
fDate
14-17 July 2009
Firstpage
1915
Lastpage
1920
Abstract
Voltage security is a crucial issue in power systems especially under heavily loaded condition. In the new scheme of restructuring, voltage stability problem becomes even more serious. To solve the problem, we integrate reactive power compensation concept by static synchronous compensator (STATCOM) with equivalent-current injection (ECI). We derive a new STATCOM with ECI model. This paper shows the application of ant colony optimization (ACO) plus genetic algorithms (GA) for optimal capacity and location of a new STATCOM with ECI model in a power system. Finally simulation shows the optimal location and capacity of new STATCOM with ECI model to enhance power system voltage stability by using GACO. The proposed method demonstrates the improvement of voltage stability margin.
Keywords
genetic algorithms; power system security; power system stability; static VAr compensators; STATCOM capacity; STATCOM optimal location; ant colony optimization; equivalent current injection; genetic algorithms; power systems; reactive power compensation; static synchronous compensator; voltage security; voltage stability enhancement; Ant colony optimization; Automatic voltage control; Control systems; Genetic algorithms; Load flow; Power system modeling; Power system simulation; Power system stability; Reactive power; Voltage control; Ant Colony Optimization; Equivalent -Current-Injection (ECI); Genetic Algorithms; Static Synchronous Compensator (STATCOM); voltage stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Intelligent Mechatronics, 2009. AIM 2009. IEEE/ASME International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-2852-6
Type
conf
DOI
10.1109/AIM.2009.5229769
Filename
5229769
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