Markov chain based method for classifying coherent generator groups of wind power plant

A technology of Markov chain and coherent machine, applied in the field of value modeling, can solve the problems that hinder the research work of wind farm access to the power grid, and the mathematical modeling work of wind farm has not made breakthroughs, etc.

Inactive Publication Date: 2014-11-12
STATE GRID CORP OF CHINA +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to various reasons, no breakthrough has been made in the mathematical modeling of wind farms, which has hindered the related research work of connecting wind farms to the grid.

Method used

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  • Markov chain based method for classifying coherent generator groups of wind power plant
  • Markov chain based method for classifying coherent generator groups of wind power plant
  • Markov chain based method for classifying coherent generator groups of wind power plant

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Embodiment Construction

[0037] The method for dividing the coherent fleet of wind farms based on Markov chains includes the following steps:

[0038] 1) Preprocess SCADA data according to formula (1) to make it Markovian;

[0039] y ( t ) = 1 n Σ i = 1 n y ( i ) x ( t ) = y ( ...

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Abstract

The invention relates to a Markov chain method for classifying coherent generator groups of a wind power plant. The method comprises the steps as follows: active data and reactive data of wind turbine generators in the wind power plant are processed to enable the data to have the Markov property; a random process matrix is built, Gaussian weight processing is performed, and a Markov transition matrix is obtained; the Markov transition matrix is subjected to spectral analysis to solve a feature value, a left feature vector and a right feature vector, and the number of the classified coherent generator groups is determined; a transition probability distance between any two wind turbine generators is calculated and compared with a set threshold value to determine whether the two wind turbine generators are classified in the same generator group; and the classification result of the coherent generator groups is corrected comprehensively. The classification method utilizes actual physical data of the wind power plant, the real characteristics of the wind power plant can be reflected better, the foundation is established for completely and accurately analyzing the influence of scale type wind power plant grid connection on grid operation, and the method has positive influence on improvement of grid operation level.

Description

technical field [0001] The invention belongs to the technical field of equivalent modeling of wind farms in new energy power generation technology, and relates to a Markov chain-based method for dividing coherent machine groups of wind farms. Background technique [0002] With the continuous improvement of wind power technology and the continuous improvement of wind turbine manufacturing level, under the guidance of the national wind power development strategy of "building large bases and integrating into large power grids", large-scale grid-connected wind farms (referred to as grid-connected wind farms) have become The mainstream of wind power generation, the proportion of wind power generation in the power grid is increasing, and it has become the most mature and realistic way of clean energy power generation besides hydropower generation. [0003] However, due to the randomness and uncontrollability of wind energy, the grid-connected operation of wind farms has negative i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 王世谦张丽华于琳琳田春筝孙思培程昱明袁鹏
Owner STATE GRID CORP OF CHINA
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