DocumentCode
3478226
Title
A reinforcement learning approach to STATCOM controller
Author
Guo, H.X. ; Liu, Y.Q. ; Wu, J. ; Yang, J.M.
Author_Institution
Electr. Power Coll., South China Univ. of Technol., China
Volume
2
fYear
2004
fDate
5-8 April 2004
Firstpage
638
Abstract
The advanced static synchronous compensator (STATCOM) is a device that can provide reactive support to bus voltage. A novel control scheme based on reinforcement learning algorithm for the STATCOM is presented in this paper. Design of STATCOM controller presented does not depend on structure and parameters of power system. The adaptive heuristic critic algorithm is adopted in this paper and the parameter of the controller are updating by given reinforcement signal of system. Only local information is required. A simulation example of single-machine infinite power system is given, and the result shows the effectiveness on maintaining voltage and preventing voltage collapse.
Keywords
learning (artificial intelligence); power system control; power system dynamic stability; power system simulation; static VAr compensators; STATCOM controller; adaptive heuristic critic algorithm; bus voltage; reinforcement learning algorithm; reinforcement signal; single-machine infinite power system; static synchronous compensator; voltage collapse prevention; voltage stability; Automatic voltage control; Control systems; Learning; Power system dynamics; Power system modeling; Power system reliability; Power system simulation; Power system stability; Power system transients; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on
Print_ISBN
0-7803-8237-4
Type
conf
DOI
10.1109/DRPT.2004.1338061
Filename
1338061
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