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Title:
REAL-TIME ROBUST VARIABLE-PITCH WIND TURBINE GENERATOR CONTROL SYSTEM AND METHOD EMPLOYING REINFORCEMENT LEARNING
Document Type and Number:
WIPO Patent Application WO/2021/073090
Kind Code:
A1
Abstract:
A real-time robust variable-pitch wind turbine generator control system and method employing reinforcement learning. The system comprises: a wind velocity acquisition system for acquiring a wind velocity in a wind farm; a wind turbine information acquisition module for acquiring an angular velocity of a wind turbine; an enhancement signal generation module for generating an enhancement signal according to the acquired angular velocity of the wind turbine and a rated angular velocity of the wind turbine; a robust variable-pitch control module comprising an action network and an evaluation network, wherein the action network generates an action value according to the wind velocity in the wind farm and the angular velocity of the wind turbine and outputs same to the evaluation network, the evaluation network performs learning and training according to the enhancement signal and the action value, generates a cumulative return value and outputs same to the action network, the action network performs learning and training according to the cumulative return value, updates the action value and outputs same; a control signal generation module connected to the action network, for generating a corresponding control signal according to the received action value; and a wind turbine generator for adjusting a pitch angle according to the control signal so as to adjust the angular velocity of the wind turbine, thereby ensuring that the output power of a wind turbine generator is stable.

Inventors:
CHEN PENG (CN)
HAN DEZHI (CN)
Application Number:
PCT/CN2020/091720
Publication Date:
April 22, 2021
Filing Date:
May 22, 2020
Export Citation:
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Assignee:
UNIV SHANGHAI MARITIME (CN)
International Classes:
F03D7/00
Foreign References:
CN110566406A2019-12-13
US20140306451A12014-10-16
CN105673325A2016-06-15
CN104454347A2015-03-25
US20180335018A12018-11-22
CN104595106A2015-05-06
CN107061164A2017-08-18
Attorney, Agent or Firm:
SUNSHINE INTELLECTUAL PROPERTY LAW (CN)
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