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Integrated transient stability assessment method and system based on power flow vector Bayesian classification

A transient stability evaluation and stability evaluation technology, which is applied in the directions of instruments, character and pattern recognition, data processing applications, etc., can solve the problems that cannot consider the different transient stability of the system, and the generalization is not strong, so as to achieve clear physical meaning , strong interpretability, and strong practical application significance

Active Publication Date: 2019-10-08
TSINGHUA UNIV
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Problems solved by technology

[0004] The embodiment of the present invention provides an integrated transient stability evaluation method and equipment based on Bayesian classification of power flow vectors, which is used to solve the problem that the current integrated transient stability evaluation model in the prior art cannot consider the transient stability of the system under different working conditions Different from the current transient stability evaluation model based on operating condition clustering, which only selects a single transient stability evaluator as an evaluation tool, the problem of poor generalization

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  • Integrated transient stability assessment method and system based on power flow vector Bayesian classification
  • Integrated transient stability assessment method and system based on power flow vector Bayesian classification
  • Integrated transient stability assessment method and system based on power flow vector Bayesian classification

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[0040] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are the Some, but not all, embodiments are invented. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0041]In the prior art, in response to this problem, the article "A Deep Learning Based Two-level Framework of Power System Operating Status Clustering" (Guan, Huizhe&Chen, Ying&Huang, Shaowei&Fan, Hang&Li, Xiaomeng. (2018). A Deep Learning Based Two-level Framework of Power System Operating Condition Clustering) uses a two-level framework based on deep learning to clus...

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Abstract

The embodiment of the invention provides an integrated transient stability assessment method and system based on power flow vector Bayesian classification. According to the method, the system transient stability difference under different working conditions is considered, the probability that the current operation working condition is suitable for each sub-evaluator is calculated through Bayesianclassification, and then the output of each sub-evaluator is integrated according to a total probability formula to obtain the total output. The method and the system disclosed by the embodiment of the invention are clear in physical meaning, high in interpretability and relatively higher in practical application significance.

Description

technical field [0001] The invention relates to the technical field of power system information management, in particular to an integrated transient stability evaluation method and system based on Bayesian classification of power flow vectors. Background technique [0002] The power system transient stability evaluation algorithm based on machine learning methods generally includes several steps of offline training, online evaluation, and rolling update. Offline training generally uses the simulation data of the target power grid, and obtains multiple actual operating conditions (power flow sections) from online measurements. These operating conditions are used as the initial conditions of the simulation, and the expected fault parameters corresponding to the operating conditions are set for simulation. The simulation results are as follows: A large number of simulation results are produced. The simulation results include the time series of system state variables and algebra...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q50/06
CPCG06Q50/06G06F18/29G06F18/214
Inventor 陈颖关慧哲黄少伟沈沉宋炎侃
Owner TSINGHUA UNIV
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