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A battery capacity configuration system for tracking wind power prediction

A technology for wind power forecasting and capacity allocation, applied in wind power generation, greenhouse gas reduction, climate sustainability, etc., can solve problems such as large errors in long-term wind power forecasting and excessive fluctuations in wind field output

Active Publication Date: 2021-05-14
STATE GRID BAODING ELECTRIC POWER SUPPLY CO +1
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Problems solved by technology

[0003] When the battery cannot meet the charge / discharge command due to the small capacity of the battery or the large error in long-term wind power prediction and the SOC limit of the charging capacity, it will cause the output fluctuation of the wind farm at a certain moment to exceed the allowable range of the grid

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  • A battery capacity configuration system for tracking wind power prediction
  • A battery capacity configuration system for tracking wind power prediction
  • A battery capacity configuration system for tracking wind power prediction

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Embodiment Construction

[0025] The technical solution of this patent will be further described in detail below in conjunction with specific embodiments.

[0026] see Figure 1 to Figure 8 , a wind farm battery capacity allocation system for realizing wind farm output tracking and 24-hour wind power forecasting.

[0027] Hysteresis control: Taking the 24-hour wind power forecast data as the output target of the active power of the wind farm, the control amount of the battery at time t is calculated by the following formula (1):

[0028] a=(P 24 (t)-P w (t))÷|P 24 (t)-P w (t)|

[0029] P E (t)=a×Max{|P 24 (t)-P w (t)|-ΔX,0} (Equation 1)

[0030] Where: P E (t) is the control quantity of the battery at time t, and a positive value indicates discharge; P 24 (t) is the value at time t of 24-hour short-term wind power forecast; P w (t) is the wind power output value of the fan at time t; the resolution of t is at the minute level; w (t) and P 24 (t) the absolute value of the difference exceed...

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Abstract

The invention discloses a storage battery capacity configuration system for tracking wind power prediction. The 24-hour wind power prediction data is used as the output target of wind field active power to configure the storage battery capacity. High 4-hour ultra-short-term wind power prediction data, simulate the charging and discharging behavior of the battery under the constraints of wind field output fluctuations in the future, predict the minimum capacity of the battery required, and correct the initial capacity of the battery; finally, use hysteresis control The difference between the threshold value and the allowable value of the maximum output fluctuation controls the charging / discharging of the battery, and the charging and discharging power of the battery meets three conditions. In the present invention, the accuracy of 4-hour ultra-short-term prediction data is much higher than the accuracy of 24-hour long-term wind power prediction, so as to ensure the minimum configuration capacity of the storage battery with the best output performance of the wind field for a certain period of time in the future, and reduce the occurrence of future SOC limitations that cannot meet the requirements of the power grid. The probability of the situation.

Description

technical field [0001] The invention relates to the technical field of battery capacity forecasting, in particular to a battery capacity configuration system for tracking wind power forecasting. Background technique [0002] Studies have shown that if the active power output of the wind farm is required to achieve zero error with the 24h wind power forecast output, the 1-MW wind turbine needs to be equipped with a 24MWh energy storage system. For wind farm owners, it means a huge investment and is unrealistic. However, when a certain error is allowed between the wind farm output and the predicted output, the required ESS capacity will drop significantly. Different time scales of wind power prediction, different wind power fluctuations at the location of the wind farm, and different control objectives will all affect the required capacity of the battery energy storage system. It is necessary to study the optimal configuration according to the wind power fluctuations of the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/28
CPCY02E10/76Y02E70/30
Inventor 师璞任惠孙晨军范文惠段志国王东杰邱世超梁爽吴坎章孙佳伟
Owner STATE GRID BAODING ELECTRIC POWER SUPPLY CO