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Robust estimation method and system for reactive power support range of doubly-fed wind power plant

A doubly-fed wind power generation and robust estimation technology, applied in wind power generation, reactive power compensation, reactive power adjustment/elimination/compensation, etc., can solve the problem of wind farms that do not consider the reactive power output capacity of parallel capacitor banks Reactive power support range, not considered, low calculation efficiency and other issues

Inactive Publication Date: 2021-05-11
SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] (1) The existing wind farm reactive power support range evaluation model does not consider the voltage setting value of the wind farm and the public access point of the grid (Point of Common Coupling, PCC) and the uncertainty of DFIG output active power. Influence of field reactive support range
[0006] (2) The existing wind farm reactive power support range evaluation model does not consider the reactive power output capability of shunt capacitor banks, SVC / SVG reactive power output capacity and OLTC tap gear adjustment and other factors on the reactive power support range of wind farms. influences
The nonlinear model method has the problem of low calculation efficiency, and it is necessary to adjust the sensitivity factor to achieve a reasonable calculation accuracy.

Method used

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  • Robust estimation method and system for reactive power support range of doubly-fed wind power plant
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  • Robust estimation method and system for reactive power support range of doubly-fed wind power plant

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Embodiment 1

[0037] Such as figure 1 As shown, this embodiment provides a method for robustly estimating the reactive power support range of a doubly-fed wind farm, including:

[0038] S1: Construct a range estimation nonlinear model with the objective function of maximizing the reactive support range;

[0039] S2: Linearize the constraints of the range estimation nonlinear model to obtain the range estimation linear model; the constraints include the power balance of the double-fed wind farm, the reactive power injection of the shunt capacitor bank and the tap changer of the on-load tap changer Joint gear adjustment;

[0040] S3: Construct an uncertainty set according to the active power of the double-fed wind turbine and the voltage amplitude of the public access point of the grid;

[0041] S4: Perform solvability processing on the range estimation linear model to obtain a two-stage optimization objective;

[0042] S5: Solving the first-stage optimization objective to obtain the candi...

Embodiment 2

[0099] This embodiment provides a system for robustly estimating the reactive power support range of a doubly-fed wind farm, including:

[0100] The nonlinear module is used to construct a range estimation nonlinear model with the objective function of maximizing the reactive support range;

[0101] The linearization module is used to linearize the constraints of the range estimation nonlinear model to obtain the range estimation linear model; the constraints include doubly-fed wind farm power balance, reactive power injection and load sharing of parallel capacitor banks Adjustment of the tap position of the switch;

[0102] Constraint module, used to construct uncertainty set according to the active power of double-fed wind turbine and the voltage amplitude of the common access point of the power grid;

[0103] A solvability processing module is used to perform solvability processing on the range estimation linear model to obtain a two-stage optimization objective;

[0104] T...

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Abstract

The invention discloses a robust estimation method and system for the reactive power support range of a doubly-fed wind power plant. The method comprises the following steps: constructing a range estimation nonlinear model by taking a maximized reactive power support range as a target function; performing linearization processing on constraint conditions of the range estimation nonlinear model to obtain a range estimation linear model; constructing an uncertainty set according to the active power of the doubly-fed wind generator and the voltage amplitude of the public access point of the power grid; carrying out solvability processing on the range estimation linear model to obtain a two-stage optimization target; solving the first-stage optimization target to obtain a candidate reactive power support range; and solving the second-stage optimization target under the uncertain set to obtain an optimal reactive power support range in the candidate reactive power support ranges. The two-stage robust optimization-based linearization estimation method for the reactive power support range of the wind power plant has the advantages that the calculation efficiency is higher, the sensitivity factor does not need to be adjusted, and the precision is reasonable.

Description

technical field [0001] The invention relates to the technical field of power system optimal dispatching, in particular to a method and system for robustly estimating the reactive power support range of a doubly-fed wind farm. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] With the increasing penetration of wind farms, their randomness and intermittency pose challenges to the safe and economical operation of the power grid. Taking the doubly-fed wind farm as a reactive power source to participate in the reactive power optimization of the power grid will help the balance of reactive power and voltage stability of the power grid, help reduce network losses, and achieve economical operation of the power grid. At present, most literature adopts the linear superposition method, that is, the reactive power support range of the wind farm is all ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/18
CPCH02J3/18H02J2203/20Y02E10/76Y02E40/30
Inventor 李正烁周瑜刘奕彤
Owner SHANDONG UNIV
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