Optimized energy storage configuration method for wind power plant

A configuration method and technology of wind farms, applied in wind power generation, circuit devices, energy storage, etc., can solve problems such as not considering the influence of wind power, achieve the effect of reducing capacity and power, and improving accuracy

Active Publication Date: 2019-08-23
SHANGHAI DIANJI UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0011] Existing technologies generally optimize energy storage capacity by curtailing wind, configuring hybrid energy storage, setting error bands, and establishing ene

Method used

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  • Optimized energy storage configuration method for wind power plant
  • Optimized energy storage configuration method for wind power plant
  • Optimized energy storage configuration method for wind power plant

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Experimental program
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Embodiment

[0047] On the premise of improving the accuracy of wind power forecasting in wind farms, optimize the energy storage configuration of wind farms, reduce the capacity and power of energy storage systems, and improve the economic benefits of wind farms.

[0048] I. The typical wind power prediction model is used to predict the wind power. The input parameters include: wind speed, humidity, wind direction, temperature, and air pressure; the output parameters are: the historical model value of wind power and the predicted value of wind power.

[0049] II. Correct the predicted value of wind power to obtain the energy storage configuration capacity and energy storage configuration power. The specific steps are as follows:

[0050] 1) Calculate the error between the historical model value of wind power and the historical measured value of wind power based on the historical measured value of wind power in the wind farm:

[0051] P EK =P PK -P MK (1)

[0052] In the above formula...

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Abstract

The invention relates to an optimized energy storage configuration method for a wind power plant. The method comprises the steps: S1, obtaining a wind power historical model value by using parameter historical data and a traditional wind power prediction model; S2, obtaining a wind power historical error according to the wind power historical model value and the wind power historical measured value; S3, minimizing the average absolute value of the wind power historical errors of different prediction points in the same wind field to obtain the optimal correction amount of the wind power historical errors; S4, combining the wind power historical error with the optimal correction amount to obtain a wind power correction historical error; S5, obtaining the energy storage configuration capacityand the energy storage configuration power according to the wind power correction historical error. Compared with the prior art, the method improves the accuracy of the grid-connected planned power of the wind power plant, and reduces the required energy storage configuration capacity and power.

Description

technical field [0001] The invention relates to the field of wind farm energy storage configuration, in particular to a wind farm optimal energy storage configuration method. Background technique [0002] The energy storage system is an ideal choice for compensating wind power prediction errors. Under the existing energy storage battery cost and operating costs, the optimal configuration of the capacity and power of the energy storage system is extremely important. There are mainly the following technologies in optimizing the energy storage configuration of wind farms: [0003] Technology 1: According to the evaluation index of wind power forecasting and forecasting, analyze the distribution characteristics of wind power forecasting error, adopt the cut-off normal distribution method, consider a certain amount of abandoned wind, and optimize the capacity and power of the energy storage system; [0004] Technology 2: Use the low-pass filter method to decompose the power devi...

Claims

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Application Information

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IPC IPC(8): H02J3/32H02J3/38G06Q10/06G06Q50/06
CPCH02J3/386H02J3/32G06Q10/06313G06Q50/06H02J2203/20Y02E70/30Y02E10/76Y04S10/50Y02E40/70
Inventor 李浩博邹海荣
Owner SHANGHAI DIANJI UNIV
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