DocumentCode :
2738331
Title :
Interaction analysis of FACTS controllers based on relative gain array principle
Author :
Li, H. Ch ; Dong, P. ; Liu, M.B. ; Wang, Q.
Author_Institution :
Sch. of Electr. Power Eng., South China Univ. of Technol., Guangzhou, China
fYear :
2011
fDate :
8-10 June 2011
Firstpage :
1
Lastpage :
5
Abstract :
With aggravation of power system complexity and wide application of flexible AC transmission system (FACTS) equipments in power system, interactions and coordination between FACTS controllers need to be investigated and solved. Different from Phillips-Heffron model, the linear model of 2-area, 4-machine power system with Static Var Compensators (SVC) and Static Synchronous Compensators (STATCOM) installed was established, which is used in the process of relative gain array (RGA) analysis. The relationship of interactions and electric distance between SVC and SVC or between SVC and STATCOM were investigated based on RGA principle. The results of a time-domain simulation was consistent with RGA analysis, which verified the feasibility and effectiveness of RGA principle used to analyze interactions between FACTS equipments in power system.
Keywords :
flexible AC transmission systems; power transmission control; static VAr compensators; 4-machine power system; FACTS controllers; Phillips-Heffron model; STATCOM; electric distance; flexible AC transmission system; interaction analysis; power system complexity; relative gain array principle; static Var compensators; static synchronous compensators; time-domain simulation; Analytical models; Arrays; Automatic voltage control; Control systems; Couplings; Power system stability; Static VAr compensators; FACTS; STATCOM; SVC; interaction analysis; relative gain array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Systems and Applications (PESA), 2011 4th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-0205-1
Type :
conf
DOI :
10.1109/PESA.2011.5982887
Filename :
5982887
Link To Document :
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