Title:
REINFORCEMENT LEARNING ALGORITHM-BASED SELF-CORRECTION CONTROL METHOD FOR DOUBLE-FED INDUCTION WIND GENERATOR
Document Type and Number:
WIPO Patent Application WO/2018/145498
Kind Code:
A1
Abstract:
A reinforcement learning algorithm-based self-correction control method for a double-fed induction wind generator. According to the method, an RL controller is added to a PI controller of a vector control system based on PI control to dynamically correct the output of the PI controller; the RL controller comprises an RL-P controller and an RL-Q controller; and the RL-P controller and the RL-Q controller are used for correcting active and reactive power control signals respectively. A Q learning algorithm is introduced to the method and is used as a reinforcement learning core algorithm; the reinforcement learning control algorithm is insensitive to a mathematical model and an operating state of a controlled object, and the learning capability has relatively high adaptability and robustness on parameter changes or external interference, so that the output of the PI controller can be optimized quickly and automatically online; according to the method, good dynamic performance is achieved, and the robustness and adaptability of the control system are significantly enhanced.
Inventors:
YU TAO (CN)
CHENG LEFENG (CN)
LI JING (CN)
WANG KEYING (CN)
CHENG LEFENG (CN)
LI JING (CN)
WANG KEYING (CN)
Application Number:
PCT/CN2017/110899
Publication Date:
August 16, 2018
Filing Date:
November 14, 2017
Export Citation:
Assignee:
UNIV SOUTH CHINA TECH (CN)
International Classes:
H02P21/14
Foreign References:
| CN106877766A | 2017-06-20 | |||
| CN104506106A | 2015-04-08 | |||
| CN105897102A | 2016-08-24 | |||
| US20100114388A1 | 2010-05-06 |
Other References:
LI, JING ET AL.: "Self- Tuning Control Based on Reinforcement Learning Algorithm for Doubly-Fed Induction Wind Power Generator", SMALL & SPECIAL ELECTRICAL MACHINES, vol. 41, no. 3, 28 March 2013 (2013-03-28), pages 53 - 54, ISSN: 1004-7018
Attorney, Agent or Firm:
GUANGZHOU HUAXUE INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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