TY - GEN
T1 - Application of dual heuristic programming in excitation system of synchronous generators
AU - Lin, Yuzhang
AU - Lu, Chao
N1 - Funding Information:
This work was supported by the Students Research Training of Tsinghua University.
PY - 2011
Y1 - 2011
N2 - A new method, Dual Heuristic Programming (DHP) is introduced for the excitation control system of synchronous generator in this paper. DHP is one type of Approximate Dynamic Programming (ADP), which is an adaptive control method. Nonlinear function fitting method is used to approximate the performance index function of dynamic programming, so that ADP can get optimal control for the plant. In this paper, DHP implements the adaptive control of the excitation system of synchronous generators. Results show that the DHP method performs better than the conventional PID method in excitation control of synchronous generators. The DHP method has obtained a more rapid response. More over, it can optimize the performance globally, which reduced the swinging of excitation voltage and the energy consumption.
AB - A new method, Dual Heuristic Programming (DHP) is introduced for the excitation control system of synchronous generator in this paper. DHP is one type of Approximate Dynamic Programming (ADP), which is an adaptive control method. Nonlinear function fitting method is used to approximate the performance index function of dynamic programming, so that ADP can get optimal control for the plant. In this paper, DHP implements the adaptive control of the excitation system of synchronous generators. Results show that the DHP method performs better than the conventional PID method in excitation control of synchronous generators. The DHP method has obtained a more rapid response. More over, it can optimize the performance globally, which reduced the swinging of excitation voltage and the energy consumption.
KW - Adaptive Dynamic Programming
KW - Dual Heuristic Programming
KW - Excitation System
KW - Neural Network
KW - Synchronous Generator
UR - http://www.scopus.com/inward/record.url?scp=79957846743&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-21111-9_21
DO - 10.1007/978-3-642-21111-9_21
M3 - Conference contribution
AN - SCOPUS:79957846743
SN - 9783642211102
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 188
EP - 199
BT - Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011
T2 - 8th International Symposium on Neural Networks, ISNN 2011
Y2 - 29 May 2011 through 1 June 2011
ER -