Wind power generation intelligent network and control method with power generation forecast and tracking control

Abstract

The invention discloses a wind power generation intelligent network with generating capacity forecast and tracking control functions and a control method. The wind power generation intelligent network comprises a forecasting unit and a controlling unit. The control method comprises the steps of collecting data of a wind power generation comprehensive observation station; optimizing the processed data through a genetic algorithm and decoding obtained optimal individuals into initial parameters of a BP neural network; carrying out BP training; calculating a maximum power curve record chart according to the historical data transmitted from the wind power generation comprehensive observation station and outputting the maximum power curve record chart to a microprocessor; and receiving forecast generating capacity from a forecasting computer through a power dispatching center. The wind power generation intelligent network can precisely forecast the generating capacity, and according to data analysis on a certain power station, the relative coefficient between the actual generating capacity and the forecast generating capacity is up to 94 %; a wind machine can be automatically rotated to seek the maximum power point according to the real-time data of a terminal, and network-connected safety of wind power generation and sufficient utilization of the wind energy are achieved.

Description

technical field [0001] The invention belongs to the technical field of wind power generation, and in particular relates to a wind power generation intelligent network and a control method with generating capacity prediction and tracking control. Background technique [0002] Today's world is facing serious energy crisis and environmental pollution problems, forcing people to turn their attention to the development and utilization of new energy sources, and the exploration of wind resources has thus ushered in new opportunities. According to the survey, my country is rich in wind power resources, and the reserves that can be developed and utilized are about 1 billion KW, which are mainly distributed in the northwest, northeast and coastal areas of our country. By the end of 2011, my country's wind power installed capacity accounted for 40% of the world's total, and wind power grid electricity accounted for 1.5% of the country's power generation. However, with the continuous ...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a wind power generation intelligent network and control method with power generation prediction and tracking control, aiming to solve the problem of separating the wind power generation prediction and tracking control technology in the existing technology, resulting in a single technology and wind resources. If it is not fully utilized, a lot of manpower and material resources are wasted; and the existing technology cannot effectively integrate various resources, cannot improve the production capacity structure, and is not conducive to the large-scale development of power stations

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