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Method and system for predicting wind power of wind power plant, equipment and storage medium

A forecasting method and forecasting system technology, applied in the field of data processing, can solve problems such as low forecasting accuracy

Pending Publication Date: 2019-08-30
SHANGHAI ELECTRIC WIND POWER GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is that the wind power prediction method in the prior art has defects such as low prediction accuracy, and the purpose is to provide a wind power prediction method, system, equipment and storage medium of a wind farm

Method used

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  • Method and system for predicting wind power of wind power plant, equipment and storage medium
  • Method and system for predicting wind power of wind power plant, equipment and storage medium

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Effect test

Embodiment 1

[0086] Such as figure 1 As shown, the prediction method of the wind power of the wind farm of the present embodiment includes:

[0087] S101. Respectively take each unit in the wind farm as a target unit, and determine the adjacent units of each target unit according to the set conditions;

[0088] Specifically, according to the actual wind farm conditions, a set number of generators around the target generator set are determined as adjacent generator sets, or generators within a set distance range are determined as adjacent generator sets.

[0089] For example, for an offshore wind farm, the eight generators around the target generator can be directly determined as adjacent generators; for a wind farm on a land flat terrain, it can be directly determined that the distance from the center of the target generator is 10D (D represents the rotor diameter of the target generator ) units are adjacent units.

[0090] S102. Obtain the first historical unit data corresponding to eac...

Embodiment 2

[0103] Such as figure 2 As shown, the wind power prediction method of the wind farm in this embodiment is a further improvement to the embodiment, specifically:

[0104] After step S102, before step S104 also includes:

[0105]Eliminate the second historical unit data of adjacent units that are not operating normally (such as units shut down due to failures, etc.); or, eliminate the second historical unit data of adjacent units that are not affected by the target unit wake.

[0106] Step S104 includes:

[0107] S1041. Using the wake superposition model, according to the first historical unit data corresponding to each target unit at the same historical time point and the second historical unit data corresponding to the adjacent units of the target unit, calculate each target unit at each historical time point Corresponding historical wake model parameters.

[0108] Among them, wake superposition models include geometric addition wake superposition model, linear superpositi...

Embodiment 3

[0149] Such as image 3 As shown, the wind power prediction system of the wind farm in this embodiment includes a prediction system including a determination module 1, a first historical unit data acquisition module 2, a second historical unit data acquisition module 3, a parameter calculation module 4, and a parameter prediction model establishment Module 5, target unit data acquisition module 6, parameter prediction value acquisition module 7, power prediction value acquisition module 8 and wind power prediction module 9 of the wind farm.

[0150] The selection module 1 is used to take each unit in the wind farm as a target unit, and determine the adjacent units of each target unit according to the set conditions;

[0151] Specifically, according to the actual wind farm conditions, a set number of generators around the target generator set are determined as adjacent generator sets, or generators within a set distance range are determined as adjacent generator sets.

[0152]...

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Abstract

The invention discloses a method and system for predicting wind power of a wind power plant, equipment and a storage medium. The method comprises the steps: taking each unit in the wind power plant asa target unit and an adjacent unit of the target unit; obtaining first historical unit data of the target unit and second historical unit data of the adjacent unit; calculating to obtain historical wake flow model parameters of each target unit; establishing a parameter prediction model; acquiring target unit data of each target unit in the wind power plant; obtaining a wake flow model parameterprediction value of each target unit in the wind power plant; obtaining a power prediction value of each target unit in the wind power plant; and obtaining a prediction value of the wind power of thewind power plant. The method and system for predicting wind power of a wind power plant can improve prediction accuracy of the wind power of the wind power plant.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a wind power prediction method, system, device and storage medium of a wind farm. Background technique [0002] At present, according to the requirements of relevant national regulations, it is necessary to predict the wind power and feed back the predicted value to the power grid. [0003] Existing wind power forecasting methods for wind farms mainly use artificial intelligence algorithms as input to historical meteorological parameters (such as wind speed, wind direction, air temperature, air pressure, and other meteorological parameters), and the historical power data of each unit in the wind farm as output. , to establish a wind power prediction model; then, collect the real-time updated meteorological parameter information in the weather forecast system and input it into the wind power prediction model to obtain the wind power prediction value. [0004] Howe...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/067G06Q50/06
Inventor 许梦莹蒋勇冯烨
Owner SHANGHAI ELECTRIC WIND POWER GRP CO LTD
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