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Power system transient stability evaluation method

A transient stability evaluation and power system technology, applied to electrical components, circuit devices, AC network circuits, etc., can solve the problems of limited model feature expression ability and generalization ability constraints, and achieve good generalization ability and accuracy, Good engineering application value and effect of improving model accuracy

Pending Publication Date: 2021-03-26
SHENZHEN POWER SUPPLY BUREAU
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Problems solved by technology

However, due to the structural limitations of shallow learning, the model's ability to express the characteristics of the input data is limited, and the generalization ability is restricted when solving high-dimensional data classification problems.

Method used

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  • Power system transient stability evaluation method
  • Power system transient stability evaluation method
  • Power system transient stability evaluation method

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Embodiment Construction

[0029] The following descriptions of various embodiments refer to the accompanying drawings to illustrate specific embodiments in which the present invention can be implemented.

[0030] Please refer to figure 1 As shown, the embodiment of the present invention provides a power system transient stability evaluation method, including:

[0031] Step S1, establishing an initial sample set through the short-term disturbance trajectory of the generator obtained by offline simulation, and randomly dividing the initial sample set into a training set and a test set;

[0032] Step S2, input the training set into the capsule neural network, arrange each electrical quantity in the area, and sort according to the disturbance degree of the generator in the early stage of the fault, set different network parameters respectively, and use the comprehensive index as the basis to obtain Optimal capsule neural network;

[0033] Step S3, using the trained optimal capsule neural network to perfo...

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Abstract

The invention discloses a power system transient stability evaluation method. The method comprises the steps of S1, establishing an initial sample set through a short-term disturbance track of a generator obtained through offline simulation, and randomly dividing the initial sample set into a training set and a test set; S2, inputting the training set into a capsule neural network, arranging eachelectrical quantity in a regional manner, sorting according to the disturbed degree of the generator at an initial stage of a fault, setting different network parameters, and training to obtain an optimal capsule neural network on the basis of comprehensive indexes; and S3, performing online transient stability evaluation on the test set sample by using the trained optimal capsule neural network.The method can realize rapid prediction of transient stability, and has the advantages of ''rapid measurement, rapid resolution, rapid control'' and the like.

Description

technical field [0001] The invention relates to the technical field of smart grids, in particular to a method for evaluating transient stability of a power system. Background technique [0002] With the rapid development of the power system, the scale of the power grid continues to expand, and the application of various transmission methods and new energy technologies makes the structure and operating conditions of the power grid more complex, leading to more risks for the safe and stable operation of the power system. The modern power system is a high-dimensional nonlinear system, and the fault process develops very rapidly. It is difficult to make effective and correct judgments in a short period of time solely relying on the dispatcher's experience. The traditional analysis methods commonly used at present include the direct method and the time-domain simulation method. The former is relatively conservative in stability estimation and cannot meet the needs of large-scale ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 李志李俊戚思睿梅鹏李则戎刘傲
Owner SHENZHEN POWER SUPPLY BUREAU
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