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Battery energy storage power grid frequency stability control method based on big data

A technology of stability control and battery energy storage, applied in energy storage, climate sustainability, AC network load balancing, etc., can solve problems such as insufficient data, ramp rate, and insufficient response time and output

Active Publication Date: 2020-04-17
国网内蒙古东部电力有限公司经济技术研究院 +3
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  • Abstract
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  • Claims
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Problems solved by technology

[0003] The current grid energy storage system is gradually developing from a single energy storage form to a composite energy storage structure. The energy storage control mostly uses the low-pass filter principle to stabilize the wind and wind output fluctuations. Generally, the grid-connected energy storage system adopts the traditional Droop control mode is not strong enough in terms of ramp rate, response time, output, etc., and the general energy storage system can only realize the control of its active power, and insufficient consideration is given to reactive power. In terms of realizing grid frequency stability control, consideration should be given to The data is not comprehensive enough

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  • Battery energy storage power grid frequency stability control method based on big data
  • Battery energy storage power grid frequency stability control method based on big data
  • Battery energy storage power grid frequency stability control method based on big data

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Embodiment Construction

[0066] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0067] In this embodiment, a multi-energy system is taken as an example. The blade radius r of a fan in a wind power plant in this system is 60m long, and the power coefficient of the fan rotor is 0.4. At this time, the wind speed V is 8.5m / s. According to the standard air pressure, humidity, The air standard density ρ = 1.29kg / m is obtained 3 , n=36 energy storage battery devices, battery charging and discharging efficiency η=0.9, DC side current I BES =40A, grid-connected AC side voltage V s Effective value 380v, inverter firing angle α=120°, considering battery loss factor σ=0.22, number of inverters m=64, atmospheric pressure P k =1.013×10 2 , thermodynamic tempera...

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Abstract

The invention discloses a battery energy storage power grid frequency stability control method based on big data. The invention belongs to the technical field of power grid stability control. According to the method, influence factors such as temperature and humidity are comprehensively considered during power calculation; the calculation result is more accurate; a standard function related to thebattery temperature is designed for temperature selection; the temperature under the reasonable and normal working condition is selected, errors, caused by temperature errors, of the control over a whole device are reduced, a PWM inversion structure is selected to conduct grid connection on a battery energy storage device, and through active and reactive combined control over battery energy storage, the control over the system has certain self-adaptation.

Description

technical field [0001] The invention relates to the technical field of power grid stability control, in particular to a method for controlling frequency stability of a battery energy storage power grid based on big data. Background technique [0002] In recent years, with the continuous development of new energy technologies, more and more new energy power generation is connected to the power grid, which brings huge challenges to the stable operation of the power grid. The energy storage system can quickly provide energy buffer to the grid, so that the voltage and frequency of the grid can be kept stable. Among various energy storage methods, battery energy storage has high controllability, high conversion efficiency, high overall energy density, and wide application range compared with other energy storage methods. It is often used in distribution networks that require high grid stability. It can be applied to power quality regulation, load shaving and valley filling, and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/24H02J3/32H02J3/38
CPCH02J3/24H02J3/32Y02E70/30
Inventor 韩永强王学超康赫然孙碣滕云钟磊弓玮王泽镝孙鹏金红洋左浩
Owner 国网内蒙古东部电力有限公司经济技术研究院
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