A Power System Transient Stability Assessment Method Based on Short-term Disturbed Trajectories

CN108964046BInactive Publication Date: 2021-04-30NORTHEAST DIANLI UNIVERSITY +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NORTHEAST DIANLI UNIVERSITY
Publication Date
2021-04-30
Estimated Expiration
Not applicable · inactive patent

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Abstract

The present invention is a power system transient stability evaluation method based on the short-term disturbed trajectory after the fault is cleared. The feature arrangement method when evaluating the best accuracy rate makes the local features extracted by the model more robust, and then optimizes the network window parameters with the goal of optimizing the comprehensive evaluation index of the model to enhance the generalization ability of the model , and finally establishes the mapping relationship between the short-term trajectory and the transient stability to realize fast and accurate rapid evaluation of the transient stability of the power system. The method of the present invention can effectively reduce the misjudgment and missed judgment samples of model evaluation, and is more accurate and efficient than the traditional machine learning evaluation method, and the evaluation of transient stability based on short-term disturbed trajectories leaves a certain amount of time for dispatchers margin to take control measures.
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Description

technical field

[0001] The invention relates to the field of safe and stable operation of power systems, and relates to a method for evaluating transient stability of power systems based on short-term disturbed trajectories. Background technique

[0002] Rapid assessment of transient stability is an important prerequisite for online security prevention and control of power systems, and is of great significance to the safe and stable operation of power systems. The existing rapid transient stability assessment technology uses the geometric characteristics of the response trajectory of the system to evaluate the transient stability of the power grid after a fault. It does not depend on the model and parameters of the system, and the analytical results are universal. However, this type of method requires a long time to acquire It is difficult to meet the requirements of "instant measurement, identification, and control".

[0003] The machine learning method does not need to es...

Claims

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