Wind farm active power optimal control method based on power prediction information

Abstract

The invention provides a wind farm active power optimal control method based on power prediction information. The method is based on prediction of ultra-short-term wind power, various limitations on operation of a wind farm are taken into consideration, output of various turbines is smoothened, the action frequency of a turbine control system is reduced, an optimal algorithm is adopted, and accordingly variation of output power of each turbine is optimized. Compared with a current common variable-proportion allocation algorithm, the method has the advantages that the frequency of violent fluctuation of the output of the wind turbines can be reduced and can be reduced completely at most, accordingly, total adjustment frequency of the wind farm is reduced, and the method is favorable for reducing maintenance cost of the wind farm and is also beneficial to reducing influences of power adjustment to the service lives of the wind turbines.

Description

technical field [0001] The invention relates to a method for optimizing active power control in a wind farm, and belongs to the technical field of wind power generation control in new energy power generation technology. Background technique [0002] In order to cope with the huge pressure and new challenges brought by large-scale wind power access to the active power dispatching and safe and stable operation of the power grid, the State Grid Corporation of China has formulated the "Technical Regulations for Wind Farm Connected to the Power Grid" and the "Wind Power Dispatch Operation Management Regulations" to regulate wind power. The technical standards for grid-connected operation clearly require that wind farms should have the ability to regulate active power and be able to control their active power output according to the instructions of the grid dispatching department. [0003] In recent years, with the continuous deepening of the understanding of wind power generation...

AI Technical Summary

Problems solved by technology

However, this algorithm does not consider the influence of wind speed randomness and fluctuation. When the wind speed fluctuates too much, the wind turbine will continuously switch working states, which will increase the difficulty of unit control and increase the number of control times, which will bring great harm to the maintenance and operation life of the unit. Negative impact not to be underestimated

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