Power system transient voltage stability assessment method based on convolution neural network CNN

A technology of transient voltage stabilization and convolutional neural network, which is applied in the direction of neural learning methods, biological neural network models, neural architectures, etc., can solve problems that cannot satisfy accuracy and rapidity at the same time, and achieve short test time and high accuracy Efficiency, fast and accurate judgment

Pending Publication Date: 2018-12-18
ELECTRIC POWER RES INST OF EAST INNER MONGOLIA ELECTRIC POWER +2
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Problems solved by technology

[0005] The present invention mainly aims at the fact that the existing traditional transient voltage stability evaluation method cannot meet the requirements of accuracy and rapidity at the sam

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  • Power system transient voltage stability assessment method based on convolution neural network CNN
  • Power system transient voltage stability assessment method based on convolution neural network CNN
  • Power system transient voltage stability assessment method based on convolution neural network CNN

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Embodiment Construction

[0042] In conjunction with the accompanying drawings, the technical solutions involved in the present invention are further explained:

[0043] Step 1. Build a New England 10-machine 39-node system in PSD-BPA. This standard system has 10 generators, 39 buses and 46 AC lines. The reference power is 100MVA, and the reference voltage is 345kV.

[0044]Step 2, use Matlab to generate BPA power flow files and transient fault files in batches, call BPA power flow and transient state programs through MATLAB, and perform calculation and simulation. By setting different operating modes and fault locations, a large amount of original data can be obtained, and 36-dimensional feature data.

[0045] In the above step 2, there are 4000 sets of training data and 2000 sets of test data. The simulation settings for generating these data are as follows:

[0046] The load model is set to 9 types (80%, 85%, 90%, 95%, 100%, 105%, 110%, 115%, 120%), and the output state of the generator is changed...

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Abstract

The invention relates to a power system transient stability assessment method based on convolution neural network CNN, in particular to power system transient voltage stability online assessment. In order to solve the problem that the traditional transient voltage assessment methods cannot meet the accuracy and rapidity, CNN is introduced into the transient stability assessment of power system. The technical scheme is mainly divided into two parts. The first step is off-line training: pre-processing based on simulation data, obtaining 36-dimensional input feature quantities, forming training set and test set and inputting them into CNN, optimizing the structure and parameters of CNN truss, and generating off-line transient stability assessment model; the second step is to obtain the post-fault PMU measurement data and construct the 36-dimensional feature quantities, input the trained off-line transient stability assessment model, and evaluate the transient voltage online stability state. At present, the traditional transient voltage evaluation method cannot meet the problem of accuracy and rapidity, the error rate is low, and the test time is short.

Description

technical field [0001] The invention relates to a power system transient voltage stability evaluation method based on convolutional neural networks (CNN), especially an online power system transient voltage stability evaluation method. Background technique [0002] With the continuous development of my country's power system, large-scale inter-provincial interconnected power grids and AC-DC transmission lines have been put into operation, making the safe and stable operation of the power system face a major test. In order to avoid such serious safety accidents as blackouts in India, Western Europe, and the United States in my country, it is necessary to study the transient stability assessment of power grids. Power system transient stability assessment (transient stability as-sessment, TSA) is an important method related to the stable, safe and stable operation of the power system. Characteristics of transient voltage stability: the mechanism is complex, and there is no uni...

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Application Information

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IPC IPC(8): G06F17/50G06N3/04G06N3/08
CPCG06N3/08G06F30/20G06N3/045
Inventor 任正龚庆武王达张平张晓达刘春晖杜智超张明明李斯特郑博文王波乔卉吴留闯
Owner ELECTRIC POWER RES INST OF EAST INNER MONGOLIA ELECTRIC POWER
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