Energy management method and device for wind farm

Abstract

The invention provides an energy management method and a device for a wind farm. The method comprises steps: meteorological data of the wind farm and the environment data and the operation data of each wind turbine in the wind farm are acquired as reference variables; through counting the occurrence possibilities of all fault events of each wind turbine based on the reference variables, a data feature library for each wind turbine is generated; and based on energy requirements inputted by scheduling, the real-time meteorological data, the environment data and the operation data of each wind turbine and the data feature library for each wind turbine, a wind turbine combination and a backup wind turbine most suitable for the current working condition are selected, and the optimal energy is allocated for each wind turbine in the combination. According to the energy management method and the device for the wind farm, a wind turbine combination most suitable for the current environment and the energy requirements can be selected for load-limited operation, and the target of effectively and stably managing the energy of the wind farm is thus realized.

Description

technical field [0001] The present invention relates to the technical field of wind power, and more specifically, relates to a method and equipment for performing energy management of a wind farm in consideration of the characteristics of each wind power generator in the wind farm and the external environment in which it operates. Background technique [0002] In recent years, with the development of new energy development projects, the wind power industry has been vigorously developed. A wind turbine is an electrical device that converts wind energy into mechanical energy and then converts mechanical energy into electrical energy. Wind power is becoming an increasingly popular and supported way of generating electricity because it has no fuel issues, nor does it produce radiation or air pollution. [0003] However, the wind curtailment phenomenon of wind power generation is relatively serious at present. The main factors are as follows: First, the planning of wind power c...

AI Technical Summary

Problems solved by technology

Specifically, first of all, the method of manual power limitation is mainly dominated by the subjective factors of personnel, and it is easy to cause control errors due to personnel mistakes. When people are slow to respond to actions, it is not easy to achieve flexible adjustment of online energy

Secondly, the automatic adjustment method of the energy management platform has the disadvantage of poor stability of the energy connected to the grid. Specifically, the automatic adjustment method of the energy management platform does not consider the stability of the wind turbine generator under different working conditions, and has a great impact on the probability of failure of the wind turbine. Insufficient estimation, the probability of unit disconnection due to failure or other reasons is not clear, resulting in unstable online load of wind farms in the event of unit d

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