Wind power plant reactive voltage optimization control method based on data-driven modeling

Abstract

The invention relates to a wind power plant reactive voltage optimization control method based on data-driven modeling, which comprises the following steps of: carrying out wind power plant tide quasi-steady-state modeling according to historical data of a fan of a wind power plant, taking reactive power of a wind driven generator and reactive power of a static var generator (SVG) as control variables, and calculating the reactive voltage of the wind power plant according to a sensitivity relation of node voltage to the control variables; and by taking the minimum control adjustment amount as an objective function, setting a node voltage linear constraint, and establishing a voltage out-of-limit optimization model of the power system containing the wind turbine generator and the SVG to realize reactive voltage optimization control.

Description

technical field [0001] The invention relates to a quasi-steady-state modeling and reactive power and voltage optimization control method based on data-driven and wind farm topology structure. Background technique [0002] With the large-scale grid connection of wind turbines, the stable operation of the distribution network is faced with many challenges, among which the problems of voltage over-limit and voltage fluctuation in the distribution network are particularly significant. The problem of voltage over-limit not only limits the normal power generation of wind farms, but also seriously threatens the safe and stable operation of the distribution network. [0003] At present, in the reactive power and voltage control system of wind farms, the adjustment objects are mainly wind turbines, capacitor banks, main transformer taps, Static Var Generators (SVG) and so on. The main variable tap is not a reactive power source. It only changes the reactive power distribution and do...

AI Technical Summary

Problems solved by technology

However, due to the characteristics of wind farms with many types of equipment, large performance differences, and multiple control levels, the control strategies of wind farms in different regions are quite different, resulting in many problems in the actual operation of wind farms.

For example, the voltage at the grid connection point exceeds the limit, and the internal voltage distribution of the station is unreasonable, etc.

Voltage regulation strategies such as adjusting the reactive power of wind turbines can only meet the voltage control requirements of the grid-connected point, and cannot consider the internal voltage distribution of the wind farm, which leads to the hidden danger of overvoltage inside

At present, the grid structure of wind farms is relatively weak. In addition, the fluctuation of wind power itself makes the impedance of the grid connection point have time-varying characteristics, and the corresponding relationship between voltage and reactive power is difficult to calculate.

At the same time, wind turbines have a certain degree of dispersion in space, and the response characteristics of wind turbines and reactive power compensation devices are different, making the coordinated control of multiple reactive power sources inside the wind farm more difficult.

In view of the above problems, the sensitivity-based voltage control method is one of the main methods to solve the problem of wind farm voltage exceeding the limit. The internal voltage is optimized and adjusted based on the line parameter model, but this voltage regulation method depends on the accuracy of the model parameters. In practice, Line parameters are inaccurate, traditional sensitivity methods are difficult to achieve precise control, and cannot achieve global optimal reactive power distribution, which cannot meet the needs of rapid applications

[0005] Therefore, the existing wind farm voltage regulation methods still have certain defects and deficiencies:

[0006] (1) The reactive power regulation of wind turbines and SVG can respond to the voltage regulation requirements of the grid-connected point, but does not consider the internal voltage distribution of the wind farm, and there is a hidden danger of overvoltage

[0007] (2) Using traditional sensitivity voltage regulation, the voltages between adjacent nodes affect each other, and the optimal distribution of global voltage cannot be achieved

[0008] (3) Using optimization algorithms such as optimal power flow to adjust voltage depends on the accuracy of model parameters, and the calculation time is long, which cannot meet the needs of rapid application

Images