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Wind power plant reliability modeling method considering correlation between air speed and fault of wind turbine generator

A technology of wind turbines and modeling methods, applied in the fields of electrical digital data processing, special data processing applications, instruments, etc.

Inactive Publication Date: 2015-02-04
NANJING INST OF TECH
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Problems solved by technology

However, there is no literature that takes into account the influence of the third factor in wind farm reliability modeling

Method used

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  • Wind power plant reliability modeling method considering correlation between air speed and fault of wind turbine generator
  • Wind power plant reliability modeling method considering correlation between air speed and fault of wind turbine generator
  • Wind power plant reliability modeling method considering correlation between air speed and fault of wind turbine generator

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Embodiment Construction

[0052] The present invention will be further described below in conjunction with the drawings. The following embodiments are only used to illustrate the technical solutions of the present invention more clearly, and cannot be used to limit the protection scope of the present invention.

[0053] Such as figure 1 As shown, a wind farm reliability modeling method considering the correlation between wind speed and wind turbine faults includes the following steps:

[0054] Step 1. Parameter initialization: The wind turbines in each wind farm have the same model, the number of wind farms is n, and the number of wind turbines in the i-th wind farm is m i ; The technical parameters of the wind turbine of the i-th wind farm include: Rated power P Ri , Wind turbine cut-in wind speed V ci,i , The cut-out wind speed of the wind turbine is V co,i , Rated wind speed of wind turbine V R,i , The forced outage rate of wind turbines is FOR(i); the number of hours of wind speed simulation in the ...

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Abstract

The invention discloses a wind power plant reliability modeling method considering a correlation between an air speed and a fault of a wind turbine generator. The method comprises the following steps: initializing parameters; calculating each correlation coefficient of the Weibull distribution parameter of the wind power plant air speed and the wind power plant air speed; calculating the correlation coefficient between the wind power plant air speed and the quantity of fault wind turbine generators; forming a matrix containing the correlation coefficients between the wind power plant air speeds and between the same wind power plant air speed and the quantity of the fault wind turbine generators; selecting an optimal Copula function; simulating and generating a related multi-dimensional random number sequence; adopting an inverse transformation method for simulating and generating the air speed sequence and the fault wind turbine generator quantity sequence of each wind power plant; calculating an hour output power sequence of the single wind turbine generator of each wind power plant during a normal running process; calculating the hour output power sequence of each wind power plant; using a linear dividing or clustering method for establishing an equivalent multi-mode output power model. A wind power plant reliability model established according to the method provided by the invention can overcome the defects of the traditional wind power plant reliability modeling method.

Description

Technical field [0001] The invention belongs to the technical field of power system modeling, and in particular relates to a wind farm reliability modeling method considering the correlation between wind speed and wind turbine faults. Background technique [0002] With the development of wind power technology, the single-unit capacity of wind turbines and the scale of wind power integration systems continue to increase. Large-scale wind power integration will have a greater impact on the planning and operation of the power system. Therefore, it is necessary to establish accurate wind power Field model. In the process of wind farm reliability modeling, the following three factors should be considered: [0003] (1) The uncertainty of wind speed and wind turbine failure; [0004] (2) The correlation of wind speed between wind farms. Large-scale wind power is connected to the system through different wind farms, and the wind speed of wind farms in similar climate regions is correlated;...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06F19/00
Inventor 陈凡杨志超刘海涛郝思鹏
Owner NANJING INST OF TECH
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