A Short-Term Wind Power Prediction System Based on Covariance Optimal Combination Model

A technology of wind power forecasting and combined models, applied in genetic models, forecasting, biological neural network models, etc., can solve problems such as slow running of forecasting programs and complex combined forecasting models, and achieve reduced forecasting errors, rapid response, and high forecasting accuracy high effect

Active Publication Date: 2019-12-17
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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Problems solved by technology

Although the accuracy of this method is high, the combined forecasting model is complex and the forecasting program runs slowly

Method used

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  • A Short-Term Wind Power Prediction System Based on Covariance Optimal Combination Model
  • A Short-Term Wind Power Prediction System Based on Covariance Optimal Combination Model
  • A Short-Term Wind Power Prediction System Based on Covariance Optimal Combination Model

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Embodiment Construction

[0054] The technical solutions in the examples of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the examples of the present invention. Obviously, the described examples are only some examples of the present invention, not all examples. Based on the examples in the invention, all other examples obtained by persons of ordinary skill in the art without creative efforts belong to the protection scope of the present invention.

[0055] Such as figure 1 , a short-term wind power forecasting system based on a covariance optimal combination model, including a data acquisition module and a storage module, a covariance optimal combination forecast module, a power forecast error analysis module, a real-time communication module and a dispatch center server, the data acquisition and The storage module will collect and store real-time wind power data, numerical weather forecast data, real-time Internet data, and wind t...

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Abstract

The invention belongs to the technical field of wind power prediction, and specifically relates to a short-term wind power prediction system based on a covariance optimal combination model, including a data collection and storage module, a covariance optimal combination prediction module, a power prediction error analysis module, and a real-time communication module. The data acquisition and storage module sends the collected data required for wind power prediction and error analysis data to the covariance optimization combination prediction module and the power error analysis module to predict the wind power, and transmits the prediction results to the power prediction error analysis module, Then the forecast data is transmitted to the real-time communication module, and the real-time communication module transmits the forecast data to the dispatching center for service in real time. The system and method proposed by the present invention are simple and practical, the system used is efficient and convenient and has real-time communication and self-adjustment functions, and the accuracy of the prediction algorithm used is improved compared with a single physical model and statistical model, which is beneficial to wind power prediction develop.

Description

technical field [0001] The invention belongs to the technical field of wind power forecasting, in particular to a short-term wind power forecasting system based on a covariance optimal combination model. Background technique [0002] Wind energy is currently the renewable energy with the greatest potential for large-scale commercial development and utilization. Wind power generation is an effective way to utilize wind energy on a large scale, and it is also the most realistic choice for my country's energy and power sustainable development strategy. With the large-scale connection of wind farms to the main power grid, the power fluctuations of wind farms will have a certain impact on the stability of grid voltage and frequency, which in turn will affect the safe and stable operation of the grid. The power generation and consumption of the grid needs to be balanced at all times, and wind energy is an intermittent energy source. The active power output of wind farms changes wi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06G06F17/18G06K9/62G06N3/08G06N3/12
CPCG06F17/18G06Q10/04G06Q50/06G06N3/08G06N3/126G06F18/2411
Inventor 张阁肖静高立克杨艺云李小伟黎敏肖园园吴丽芳金庆忍梁朔
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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