Predicting device and method of voltage stability of wind power parallel network system

Abstract

The invention relates to a predicting device and method of the voltage stability of a wind power system, belonging to the technical field of wind power generation. The device comprises a sensor, a data acquisition chip, a central processing unit, an industrial personal computer and a wireless communication module. The predicting method comprises the following steps of: 1, acquiring the parallel network point data of a wind power station; 2, arraying acquired power network data into a time sequence according to acquisition time, and carrying out phase space reconstruction on the time sequence;3, carrying out a deterministic test on chaotic characteristics; 4, acquiring model parameter c and epsilon values and a kernel function parameter gamma value; and 5, analyzing a prediction result of the voltage stability of a power network. The invention prevents the errors caused when a model is established or parameters are selected in the traditional method and has the advantages of easy input quantity extraction, high precision, good accuracy and high prediction efficiency.

Description

technical field [0001] The invention belongs to the technical field of wind power generation, in particular to a device and method for predicting voltage stability of a wind power system. Background technique [0002] In recent years, wind power generation has attracted the attention of more and more researchers due to its advantages of no pollution and low cost. In 2006, my country's newly installed capacity reached about 1000MW. At the same time, a certain amount of reactive power must be absorbed from the system, which is likely to cause voltage fluctuations at the grid-connected point. Therefore, there are generally voltage stability problems in the grid-connected operation of wind farms. Voltage instability or voltage collapse will cause partial load loss in the power system, and even lead to the collapse of the entire network, resulting in large-scale blackouts, which will bring great harm to the safe operation of the power system. With the increasing capacity of wind f...

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Problems solved by technology

[0002] In recent years, wind power generation has attracted the attention of more and more researchers due to its advantages of no pollution and low cost. In 2006, my country's newly installed capacity reached about 1000MW. At the same time, a certain amount of reactive power must be absorbed from the system, which may easily cause voltage fluctuations at the grid-connected point. Therefore, there are generally problems with voltage stability in the grid-connected operation of wind farms.

Voltage instability or voltage collapse will cause partial load loss in the power system, and even lead to the collapse of the entire network, resulting in large-scale blackouts, which will bring great harm to the safe operation of the power system. With the increasing capacity of wind farms, its The impact on the power system is also increasing, so the study of wind farm voltage stability prediction has extremely important practical significance

[0003] The traditional methods for the prediction and analysis of the wind power grid-connected system voltage are to establish the grid model first, and then predict the voltage stability, so the accuracy of the prediction results largely depends on the selection of the system model and parameters, because it is difficult to find A model with simple algorithm, high precision, and long prediction time. Previous methods have relatively large errors and cannot accurately predict voltage stability.

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