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

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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Problems solved by technology

[0003] Traditional frequency modulation resources include thermal power units and hydropower units. Due to constraints such as large unit inertia and remote geographical location, these two traditional frequency modulation resources often have delays, deviations, and slow response speeds.

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