Multi-scenario collaborative control method for energy storage power station based on adaptive identification

Abstract

The invention discloses a multi-scenario collaborative control method for an energy storage power station based on self-adaptive identification, which includes obtaining the power prediction curve of the current day and extracting evaluation parameters according to the power curve of the previous day; determining the working mode of the energy storage power station; Required active output, active output required for frequency regulation, and reactive output required for voltage regulation; calculate the actual active output of the energy storage power station; determine the reactive output of the energy storage power station. The self-adaptive identification-based multi-scenario collaborative control method for energy storage power stations provided by the present invention, through acquisition of power grid parameters and calculation of power grid status, through self-adaptive identification of power grid working states, thereby determining the working mode of energy storage power plants, and according to The determined working mode of the energy storage power station calculates the actual active power output and actual reactive power output of the energy storage power station; the method of the present invention can coordinate and comprehensively control the multi-working scenarios of the energy storage power station, and the method of the present invention has high reliability and good practicability , scientifically reasonable and effective.

Description

technical field [0001] The present invention specifically relates to a multi-scenario collaborative control method for an energy storage power station based on self-adaptive identification. Background technique [0002] With the development of economy and technology, electric energy has become an indispensable secondary energy source in people's production and life, bringing endless convenience to people's production and life. [0003] At the same time, with the rapid rise of the global energy Internet, the access ratio of distributed power sources has increased, and the load access of electric vehicles has increased. There are a series of problems such as the increase of voltage difference, the deterioration of voltage quality, the decrease of power supply reliability and the difficulty of distributed power consumption. Traditional solutions such as capacity expansion and transformation have problems such as difficulty in implementation or poor economy, while battery energ...

AI Technical Summary

Problems solved by technology

Due to the fluctuation and unpredictability of the frequency, the time and place of its action are uncertain, and the number of frequency adjustments to be performed in a day is limited. If the energy storage power station is used as a single frequency adjustment device, its utilization rate will be greatly reduced, and generally requires frequency adjustment. The energy storage capacity required by the scenario is relatively large. If the capacity of the energy storage power station is configured for frequency regulation, it will affect the economy of the energy storage system

For the scenario where the energy storage power station participates in voltage regulation, the above-mentioned low utilization rate of the frequency modulation energy storage power station also has the problem, and the voltage regulation is for reactive power support, while the energy storage power station is for active power output. If the voltage regulation is used as an energy storage power station The purpose of connecting to the grid, which will cause no participation of the energy storage power station, only the converter at the energy storage node is working

[0008] At present, the existing methods can only perform single-scenario planning for energy storage power stations participating in peak shaving, primary frequency regulation, secondary frequency regulation, voltage regulation and other application scenarios, and there is no scientific and reliable method for collaborative control of energy storage power stations participating in multiple scenarios research

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