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

A power prediction and optimal control technology, which is applied in the control of wind turbines, wind power generation, wind turbines, etc., can solve the problems of increasing the number of controls, increasing the difficulty of unit control, and not considering the randomness and volatility of wind speed.

Inactive Publication Date: 2012-07-25
SOUTHEAST UNIV
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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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  • Wind farm active power optimal control method based on power prediction information
  • Wind farm active power optimal control method based on power prediction information
  • Wind farm active power optimal control method based on power prediction information

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Embodiment Construction

[0036] The present invention will be further described in detail below with reference to the accompanying drawings and examples. However, the invention is not limited to the examples given.

[0037] The invention mainly aims at the distribution problem of the active power of the dispatching layer of the wind farm. For the cluster scheduling layer, multiple wind farms can be equivalent to multiple units with different operating conditions, so the cluster scheduling layer and the wind farm scheduling layer have similar research content on active power distribution, so the method proposed by the present invention can also be used.

[0038] The present invention is used for the distribution of active power dispatching instructions in a wind farm. The wind power prediction data and scheduling data of a certain wind farm from 0:00 to 24:00 on April 20, 2011 are as follows: figure 2 shown.

[0039] In order to simulate the diversity of unit output prediction in the wind farm and t...

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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...

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Application Information

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IPC IPC(8): F03D7/00H02J3/38
CPCY02E10/763Y02E10/723Y02E10/72Y02E10/76
Inventor 汤奕王琦谢杨
Owner SOUTHEAST UNIV
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