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Coordinated setting method of wind power control parameters considering virtual inertia

A technology of controlling parameters and virtual inertia, applied in wind power generation, circuit devices, electrical components, etc., can solve problems such as insufficient consideration of grid stability

Active Publication Date: 2020-08-25
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current control parameters of wind power are mainly set according to the stability and demand of the power generation system itself, and the stability of the power grid is not fully considered.

Method used

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  • Coordinated setting method of wind power control parameters considering virtual inertia
  • Coordinated setting method of wind power control parameters considering virtual inertia
  • Coordinated setting method of wind power control parameters considering virtual inertia

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0100] See Figure 1 to Figure 3 , The coordinated setting method of wind power control parameters considering virtual inertia mainly includes the following steps:

[0101] 1) Set the control parameters to be optimized And the power system sensitivity threshold ε. j=1,2,...n. n is the number of control parameters. The initial value of k is 0.

[0102] The control parameters mainly include virtual inertia control parameters H ω ,

[0103] Virtual inertia control parameter H ω Meet the following constraints:

[0104]

[0105] Virtual inertia control parameter H ω The initial value is H ωmin .

[0106] This example chooses H ω The lower limit of is used as the initial value of the virtual management control parameter to ensure frequency stability. The initial values ​​of other control parameters are set by the constraint formula (24).

[0107] 2) Establish a coordinated optimization model for wind power generation control parameters.

[0108] Further, the main steps for establishing a ...

Embodiment 2

[0191] The coordinated setting method of wind power control parameters considering virtual inertia mainly includes the following steps:

[0192] 1) Set the control parameters to be optimized And the power system sensitivity threshold ε. j=1,2,...n. n is the number of control parameters. The initial value of k is 0.

[0193] 2) Establish a coordinated optimization model for wind power generation control parameters, and calculate the inter-regional oscillation damping ratio

[0194] 3) Use the optimization algorithm to solve the coordinated optimization model of wind power generation control parameters to obtain the power system damping ratio ζ i And the control parameters of the kth update Sensitivity between I 3 . k=0,1,2,3...

[0195] 4) Comparative sensitivity I 3 And the sensitivity threshold ε, if I 3 And go to step 5. If I 3 ≥ε, then keep the current control parameters And go to step 5.

[0196] 5) Determine the control parameters of the kth update Whether the correspond...

Embodiment 3

[0198] The method for coordinated setting of wind power control parameters considering virtual inertia, the main steps are the same as in embodiment 2, wherein, the main steps of establishing a wind power control parameter coordinated optimization model are as follows:

[0199] 1) Establish a small signal analysis model of the power system, as shown in Formula 1 to Formula 3:

[0200]

[0201] In the formula, x is the set of state variables of the power system, which mainly include the speed and power angle of the synchronous generator, which are specifically determined by the variables required by the small signal analysis model of the power system. u is the set of power system voltage and phase angle. f is the time derivative function, that is, the differential function. Is the derivative of x with respect to time, that is, differentiation.

[0202] 0=g(x,u). (2)

[0203] In the formula, g is the power flow balance equation of the power system.

[0204]

[0205] In the formula, A ...

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Abstract

The invention discloses a wind power control parameter coordination setting method considering virtual inertia. The main steps are: 1) setting the control parameter to be optimized and the power system sensitivity threshold ε. 2) Establish a wind power generation control parameter coordination optimization model. 3) Use the optimization algorithm to solve the wind power generation control parameter coordination optimization model. 4) Comparative Sensitivity I 3 and sensitivity threshold ε, if I 3 <ε，则删除当前控制参数并转入步骤5。若i3≥ε, keep the current control parameters and go to step 5. 5) Determine whether the inter-regional oscillation damping ratio corresponding to the control parameters updated for the kth time is satisfied, and if so, terminate the iteration and output all control parameters. y≤k. The invention can be widely applied to the wind power control parameter setting considering the stability of the power system.< / ε，则删除当前控制参数并转入步骤5。若i

Description

Technical field [0001] The invention relates to the field of electric power systems and their automation, in particular to a method for coordinated setting of wind power control parameters considering virtual inertia. Background technique [0002] In response to global climate deterioration, wind power will gradually replace the traditional synchronous power generation system. However, wind power systems are usually considered low-inertia systems or non-inertia systems, which brings great challenges to the stability of the power system. To solve this problem, many countries require wind power to provide virtual inertia response to support system stability. The current research on virtual inertia control mainly focuses on frequency stability: increasing the virtual inertia to reduce the frequency attenuation speed of the system, thereby improving the frequency response performance of the system. However, industrial and academic studies have found that the virtual inertia control...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/38
CPCH02J3/386H02J2203/20Y02E10/76
Inventor 余娟刘珏麟杨知方黄俊凯
Owner CHONGQING UNIV
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