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A fast evaluation method for power grid transient stability based on elm and tf

A power grid transient stability and transient stability evaluation technology, applied in data processing applications, forecasting, instruments, etc., can solve problems such as delays, affecting the implementation effect of forecasting methods, and lack of actual measurement information, so as to improve reliability and realize Prediction accuracy and effects of preventing the expansion of the impact of accidents

Active Publication Date: 2021-07-09
SOUTHEAST UNIV
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Problems solved by technology

At the same time, the actual measurement information required by the prediction method also has the risk of missing or delaying, but few researchers have considered this, which affects the implementation effect of the prediction method in practical applications

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  • A fast evaluation method for power grid transient stability based on elm and tf
  • A fast evaluation method for power grid transient stability based on elm and tf
  • A fast evaluation method for power grid transient stability based on elm and tf

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Embodiment Construction

[0020] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0021] figure 1 A framework diagram for the implementation of the ELM and TF-based transient stability rapid assessment method proposed by the present invention. like figure 1 As shown, in the specific implementation process, the TF method predicts by collecting the generator power angle trajectory, the ELM method uses the global system information to quickly evaluate the transient stability of the power grid, and the TF method will selectively correct the evaluation results of the ELM method To ensure the accuracy of transient stability assessment, the establishment of TF method and ELM method is based on historical or simulation data. In practical applications, the trajectory model library of the TF method and the transient stability evaluation model of the ELM method will be updated online. When a communication failure occurs in the powe...

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Abstract

The invention discloses a fast evaluation method for power grid transient stability based on extreme learning machine and trajectory matching, and belongs to the technical field of power system transient stability prediction. The method takes the transient stability evaluation model based on the extreme learning machine as the core, and uses the trajectory matching method for verification and correction to improve the accuracy of transient stability prediction. At the same time, the method takes the influence of the communication state of the power grid into consideration, and sets up a response plan for failures such as communication interruption and abnormality, which ensures the reliability of the method in practical applications. The invention can be used for rapid evaluation of the transient stability of the power grid after a severe fault, and can provide decision-making basis for the operation control of the power grid.

Description

technical field [0001] The invention relates to a method for analyzing the safety and stability of a power grid, in particular to a method for quickly evaluating the transient stability of a power grid based on an extreme learning machine and trajectory matching. Background technique [0002] With the increase of the scale of the power system in terms of geographical distance and load level, and the grid connection and operation of new power electronic equipment, the dynamic characteristics of the power system, such as coherence, instability modes and critical sections, are becoming more and more complex. Operational control becomes more difficult. At the same time, the improvement of power system informatization and data analysis technology supports the development of power system online analysis and prediction technology, which can improve the power system's ability to resist the risk of large-scale blackouts and cascading failures. Therefore, it is of great practical sig...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06
CPCG06Q10/04G06Q10/0639G06Q50/06
Inventor 李峰王琦汤奕
Owner SOUTHEAST UNIV
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