Active power control method in wind power plant

Abstract

The invention provides an active power control method in a wind power plant. The active power control method in the wind power plant comprises the steps of computing the active power prediction errors of all predicted points in the wind power plant, establishing a wind power plant active power prediction error distribution function, establishing a wind power plant active power prediction error distribution module, a wind power plant active power prediction confidence degree module and a wind power plant active power control module in sequence, optimizing the wind power plant active power control module, obtaining an optimization confidence weight of all unit sets, and controlling the active power of the wind power plant. The active power control method in the wind power plant is based on historical data analysis. By means of the active power control method in the wind power plant, the power-outputting error of the wind power plant is reduced, the reliability and accuracy of the wind power plant are guaranteed, and a powerful guarantee is supplied to the wind power plant in the grid-connected operation.

Description

technical field [0001] The invention belongs to the technical field of power system planning and operation, and in particular relates to a method for controlling active power of a wind farm. Background technique [0002] According to the draft of the national "New Energy Industry Revitalization Plan", my country's total installed wind power capacity will reach 150 million kilowatts in 2020, which is five times the target of the "Renewable Energy Medium and Long-term Development Plan" released in 2007. According to the plan, my country will build seven 10 million kilowatt-level wind power bases in six provinces, including Gansu, Xinjiang, Hebei, Jilin, Inner Mongolia, and Jiangsu. Gansu Jiuquan 10 million kilowatts wind power base is planned to have a total installed capacity of 35.65 million kilowatts; Xinjiang Hami plans to build 20 million kilowatts; Inner Mongolia plans to build 50 million kilowatts, including 20 million kilowatts in western Mongolia and 30 million kilowa...

AI Technical Summary

Problems solved by technology

[0005] The ultra-short-term forecasting of wind farms can predict the wind power within 4 hours in the future. Since the existing forecasting methods have certain errors, if the ultra-short-term forecasting power is directly applied to dispatching, it will have a negative impact on the economy of the power system.

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