Cloud platform-based large-scale centralized remote wind electric power prediction center

Abstract

The invention discloses a cloud platform-based large-scale centralized remote wind electric power prediction center, which is built in a wind electric power prediction system on an enterprise-level personnel cloud platform, and comprises a cloud real-time historical database system, a relational database, a downscaling large-scale parallel mode computation module for numerical weather prediction, a model computation module, a statistic analysis module, a data input / output interface and a man-machine interaction interface. In the prediction center, the traditional wind electric power prediction system is transferred onto the enterprise-level personnel cloud platform, the downscaling large-scale parallel mode computation module for numerical weather prediction is additionally arranged, so services can be provided for multiple wind farms through the strong and flexible computation capability and storage capability. While the safety is ensured, the maximum resource intensification, rapid implementation of system deployment and the minimum expenses of maintenance cost are realized, and the prediction center can be suitable for the severe environments of future offshore wind farms.

Description

technical field [0001] The invention belongs to the field of information technology, in particular to the field of wind farm information control. Background technique [0002] At present, my country has become the world's largest wind power country, but there is still a big gap between the overall technical level of wind power and the world's advanced level. The randomly changing wind speed and wind direction lead to the fluctuation, intermittent and randomness of the output power of wind farms. The grid connection problem of large-scale wind power has become a bottleneck problem restricting the development of my country's wind power industry. About 30% of the total power generation and 20% of the total wind power installed capacity cannot be connected to the grid. Predicting the output power of wind farms is one of the most effective and economical means to improve the peak-shaving capability of the power grid, enhance the ability of the power grid to accept wind power, and...

AI Technical Summary

Problems solved by technology

[0006] (1) The randomness and uncontrollability of wind power bring new challenges to power system planning and stable operation;

[0007] (2) The fluctuation characteristics of wind power and the fluctuation characteristics of grid load are difficult to be consistent, which makes the peak regulation problem of the power grid more prominent, and puts forward higher requirements for peak regulation capacity and response speed

[0009] (1) The wind farm site is remote, and it is difficult for senior professional and technical personnel to stick to it for a long time;

[0010] (2) The hardware utilization rate of the existing wind power forecasting system is not high;

[0011] (3) Offshore wind farms that will be put into large-scale construction in the future cannot provide low-cost computer rooms and corresponding hardware facilities for the wind power prediction system of the existing architecture

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