DFIG-containing electric power system random fuzzy continuation power flow method

A technology of power system and power flow method, which is applied in wind power generation, electrical components, circuit devices, etc., and can solve problems such as defects

Inactive Publication Date: 2017-08-22
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

In addition, considering the multiple uncertainty injections of wind power, if the system...

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  • DFIG-containing electric power system random fuzzy continuation power flow method
  • DFIG-containing electric power system random fuzzy continuation power flow method
  • DFIG-containing electric power system random fuzzy continuation power flow method

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Embodiment Construction

[0012] The present invention comprises the following steps:

[0013] 1 Define random fuzzy variables

[0014] The random fuzzy variable ξ(θ,ω) can be viewed as a function from the possibility space (Θ,P(Θ),Pos) to the set of random variables. Hypothesis η 1 , η 2 ,…,η m is a random fuzzy variable, u 1 ,u 2 ,...,u m is a real number on the interval [0,1], and u 1 ∨ u 2 ∨…∨ u m = 1, then

[0015]

[0016] In many statistical problems, it is often assumed that the distribution of random variables is known, but the type of parameters is unknown.

[0017] 2 Establish a random fuzzy wind speed model

[0018] Wind speed can usually be generated by Weibull. The commonly used wind speed model generally regards its shape parameter k and scale parameter c as fixed values, and its Weibull distribution probability density function is:

[0019]

[0020] In the formula: v is the wind speed. In actual research, we usually cannot know the definite k and c, and can only obtai...

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Abstract

The invention discloses a DFIG-containing electric power system random fuzzy continuation power flow method. By taking multiple uncertainties of injection power of a DFIG wind turbine generator, a mechanical model and a steady-state operating model of a DFIG wind power plant are established; a DFIG steady-state operating equation is embedded to system power flow calculation to deduce a DFIG-containing electric power system Jacobian matrix; and by adopting a tangent prediction method and lambda correction, a DFIG-containing random fuzzy continuation power flow calculation method is established; specifically, a voltage collapse point voltage amplitude and a load growth factor are discussed singly, and according to a mathematical principle of an uncertain theory, it is known that that the voltage collapse point is also a random fuzzy variable, so that the uncertainty characteristic of the voltage collapse point can be better represented in an all-around manner by the random fuzzy continuation power flow method; influence of multiple uncertainty injection of the wind turbine generator to the voltage collapse point can be disclosed; and by embedding the DFIG stable equation into the continuation power flow calculation, the gradual-change influence of changeable wind speeds to the system voltage collapse point can be reflected, so that the method can better satisfy actual conditions.

Description

technical field [0001] The invention relates to a random fuzzy continuous power flow method including wind power, which belongs to the field of safe operation of electric power systems. Background technique [0002] Modeling and forecasting of wind speed uncertain characteristics is the basic work for large-scale wind power integration into power system planning and operation. [0003] The document "Bibliography on voltage stability" mentions that the continuous power flow can track and calculate the power flow solution when the load changes, and calculate the maximum load increase to the voltage collapse point for static voltage stability analysis. The traditional continuous power flow is used to track the PV curve of the power system under a certain load condition, and obtain the voltage collapse point based on this. The change of the load condition will also cause the voltage collapse point to change accordingly. In addition, considering the multiple uncertainty injectio...

Claims

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Application Information

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IPC IPC(8): H02J3/38H02J3/46
CPCH02J3/386H02J3/46H02J2203/20Y02E10/76
Inventor 马瑞颜宏文刘振磊
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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