Method and apparatus for analyzing, regulating and controlling active power of wind farm based on wind farm regional real-time wind speed

Abstract

The invention provides a method and apparatus for analyzing, regulating and controlling the active power of a wind farm based on wind farm region real-time wind speed. The method and apparatus are used for a control system provided with a data acquisition system, a wind farm modeling system, a wind farm data storage system, a wind turbine active power forecasting system, a wind farm active power distribution system and a control effect feedback system. According to the method and apparatus adopted, overall modeling is carried out based on a regional geography model, a wind turbine model, a wind turbine wake flow model and a regional identical wind belt model; and a fuzzy control theory, a neural network algorithm and an adaptive adjustment algorithm are adopted to uninterruptedly predict real-time wind speed of wind turbines at a next time point. The method and apparatus of the invention can accurately and effectively predict theoretical active power upper limit of each wind turbine in a short time through monitoring wind farm regional real-time wind speed; and by means of the theoretical active power upper limit, wind farm active power control efficiency and accuracy can be effectively improved.

Description

technical field [0001] The invention belongs to the field of wind farm control, and in particular relates to a method for adjusting and controlling the active power of a wind farm based on real-time wind speed analysis in the wind farm area. Background technique [0002] Due to the power quality problem of wind power generation, it is difficult to connect to the grid. The power quality problem is mainly caused by the communication system on the power field side, the condition of the unit, the control system, the weather and other factors. However, the existing active power control system has relatively single consideration factors and relatively large application limitations, mainly focusing on single consideration for the implementation of commands. The control effect is often not precise enough, and the anti-interference ability to the impact of external environment changes is insufficient, resulting in the phenomenon that the active output of the wind farm is not stable e...

AI Technical Summary

Problems solved by technology

Although the dispatch command value received by the active power control system of the wind farm is calculated by the dispatch center based on the ultra-short-term forecast of the area where the wind farm is located, this value is only a predicted value calculated based on high-precision weather forecasts, and cannot accurately reflect the wind farm. The actual wind speed and wind direction in the area, not to mention the impact of the wind turbine wake on the wind speed of other fans

At the same time, because the locations of the wind turbines in the wind farm are relatively scattered, it is not possible to perform unified regulation on all the wind turbines in the wind farm.

At the same time, due to the large time-varying characteristics of wind speed and wind direction, the operating status of the wind turbine at the current moment may change suddenly in the next moment.

This will inevitably lead to irregular fluctuations in the active power of the wind turbine, which in turn will lead to fluctuations in the active power of the grid-connected point of the wind farm. This fluctuation will be more obvious in an environment where the external climate environment changes rapidly

Have a greater impact on the safe and efficient operation of the regional power grid

It cannot meet the needs of the power grid for real-time uninterrupted and stable control of the active power of the wind farm

[0004] Although the prediction accuracy of short-term / ultra-short-term wind power prediction has been greatly improved compared with the past, it still cannot meet the needs of wind farms for real-time active power control

At the same time, the short-term / ultra-short-term wind power forecast only predicts the overall wind speed in the area, and cannot represent the wind speed received by a single wind turbine. At the same time, it does not take into account the impact of the wind turbine wake on other wind turbines. The received wind speeds are not the same, which leads to different upper limits of active power that can be generated by different fans, which in turn leads to different effects of the fan's execution of active power control commands

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