Vector reinforcement learning control method of power grid frequency modulation type flywheel energy storage system

A flywheel energy storage and reinforcement learning technology, which is applied in the field of flywheel energy storage system control, can solve problems such as deviation, slow response speed, delay, etc., and achieve the effect of increasing the speed of action, improving power quality, and overcoming the slow response speed of frequency modulation

Active Publication Date: 2020-12-18
GUANGXI UNIV
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Problems solved by technology

[0003] Traditional frequency modulation resources include thermal power units and hydropower units. Due to constraints such as large unit ine...

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  • Vector reinforcement learning control method of power grid frequency modulation type flywheel energy storage system
  • Vector reinforcement learning control method of power grid frequency modulation type flywheel energy storage system
  • Vector reinforcement learning control method of power grid frequency modulation type flywheel energy storage system

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Embodiment Construction

[0025] A vector reinforcement learning control method for a power grid frequency modulation type flywheel energy storage system proposed by the present invention is described in detail in conjunction with the accompanying drawings as follows:

[0026] figure 1 It is a working schematic diagram of the grid frequency modulation type flywheel energy storage system of the present invention. When the power system is subjected to external disturbances and the system frequency deviates from the rated range, the flywheel energy storage system starts to operate. By comparing the fluctuated frequency with the reference frequency, the flywheel energy storage system is driven to work in the charging or discharging state. When the flywheel energy storage system is in operation, Q-reinforcement learning is performed on the voltage after the Parker transformation to obtain the vector-reinforcement learning value of the dq-axis voltage. After space vector pulse width modulation, the three-ph...

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Abstract

The invention provides a vector reinforcement learning control method of a power grid frequency modulation type flywheel energy storage system. The method can overcome the current situation that traditional frequency modulation resources cannot meet frequency modulation requirements due to impact of randomness, volatility and uncertainty of new energy power generation and distributed power generation on a power grid in an existing power system. Frequency modulation of the flywheel energy storage system is combined with vector reinforcement learning, the optimal action of the flywheel energy storage system is selected by performing vector reinforcement learning on voltage, a motor of the system is controlled to work in a generator/motor state to achieve the purpose that the system works ina discharging/charging mode, and therefore the purpose of adjusting the frequency of a power system is achieved. According to the vector reinforcement learning control method of the power grid frequency modulation type flywheel energy storage system, the response speed is much higher than that of a traditional frequency modulation resource, the power grid frequency can be rapidly adjusted, the power grid frequency is kept within the allowable deviation range, the system frequency stability is maintained, and therefore the reliability and safety of power grid operation are guaranteed.

Description

technical field [0001] The invention belongs to the control field of a flywheel energy storage system, and relates to a vector reinforcement learning method for controlling the work of the flywheel energy storage system, which is suitable for the control of the flywheel energy storage system. Background technique [0002] Nowadays, with the increasing capacity of generator sets, long-distance power transmission and the development of national grid interconnection, the task of frequency regulation in the power system is very heavy. At the same time, the randomness, volatility and uncertainty of new energy generation such as wind energy and solar energy and the access of distributed power sources have impacted the frequency stability of the power system. Traditional frequency regulation resources have been unable to meet frequency regulation requirements. , Response speed and response accuracy put forward higher requirements. Nowadays, how to further improve the frequency sta...

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Application Information

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IPC IPC(8): H02J3/24H02J3/30H02P27/08H02P25/024H02P21/14
CPCH02J3/24H02J3/30H02P27/085H02P25/024H02P21/14H02P2103/20Y02E60/16
Inventor 殷林飞李钰马晨骁高放
Owner GUANGXI UNIV
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