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    • 2. 发明申请
    • REINFORCEMENT LEARNING-BASED REAL TIME ROBUST VARIABLE PITCH CONTROL OF WIND TURBINE SYSTEMS
    • US20220186709A1
    • 2022-06-16
    • US17260323
    • 2020-05-22
    • Shanghai Maritime University
    • Peng CHENDezhi HAN
    • F03D7/02F03D7/04
    • Disclosed are a system and a method for reinforcement learning-based real time robust variable pitch control of a wind turbine system. The system includes: a wind speed collecting module to collect wind speed values of a wind farm; a wind turbine information collecting module to collect a rotor angular speed; a reinforcement signal generating module to generate a reinforcement signal based on the collected rotor angular speed and the rated rotor angular speed; a variable pitch robust control module including an action network and a critic network, wherein the action network is configured to generate an action value based on the wind speed of the wind farm and the rotor angular speed and output the action value to the critic network; the critic network is configured to perform learning training based on the reinforcement signal and the action value, generate a cumulative return value and output the cumulative return value to the action network; and the action network performs learning training based on the cumulative return value to update the action value and output the updated action value; and a control signal generating module connected to the action network, configured to generate a corresponding control signal based on the received action value. The wind power generator adjusts the pitch angle based on the control signal, which realizes adjustment of the rotor angle speed and guarantees smooth and stable power output of the wind turbine.
    • 10. 发明申请
    • Adaptively modulated multi-state inverter system and modulating method thereof
    • US20220060124A1
    • 2022-02-24
    • US17396715
    • 2021-08-08
    • Shanghai Maritime University
    • Tianzhen WangHan Wang
    • H02M7/521H02M1/00H02M1/084G06F17/16
    • The present invention provides an adaptively modulated multi-state inverter system, comprising: a split capacitor, four bridge arms and an isolation switch group, on each of the four bridge arms a pair of complementary power switch groups is arranged; the isolation switch group comprises four fuses and six bidirectional thyristors. The output branches of the first bridge arm, the second bridge arm and the third bridge arm are respectively connected in series with a fuse to output a three-phase voltage, and at three-phase output voltage side two shared auxiliary branches are arranged, one auxiliary branch starts from the fourth bridge arm output branch on which a fuse is connected in series and is then connected to the output terminal of the three-phase voltage via three bidirectional thyristors. The other auxiliary branch starts from the DC side feed branch from the midpoint of the split capacitor, and is connected with the output terminal of the three-phase voltage via three bidirectional thyristors respectively. The invention also provides a modulating method of the multi-state inverter system. The use of the adaptive modulating technology enables the multi-state inverter to have the functions of overcurrent protection, isolation of faulty bridge arms and fault-tolerant control on any single and double bridges.