A Fast and Robust Classification Method for Predicted Faults in Power System Transient Stability Assessment

A transient stability evaluation and fault prediction technology, which is applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as classifier design robustness defects, achieve fast and strong classification, and reduce the number of calculation examples.

Active Publication Date: 2017-08-25
STATE GRID ELECTRIC POWER RES INST +2
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  • Abstract
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AI Technical Summary

Problems solved by technology

As we all know, the design of classifiers based only on artificial intelligence technology generally has robustness defects; in addition, the intermediate results used to screen out stable cases still have information worthy of further mining

Method used

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  • A Fast and Robust Classification Method for Predicted Faults in Power System Transient Stability Assessment
  • A Fast and Robust Classification Method for Predicted Faults in Power System Transient Stability Assessment
  • A Fast and Robust Classification Method for Predicted Faults in Power System Transient Stability Assessment

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Embodiment Construction

[0052] The present invention will be described in further detail below with reference to the accompanying drawings and examples.

[0053] figure 1 Step 1 in the above describes that after the example classification process is started, a certain example is taken from the complete set of expected faults, and the SEEAC algorithm is used to calculate the temporary stability margin of the example.

[0054] figure 1 Step 2 in the above describes the identification rule 1 of the stability calculation example. If the calculation example is calculated by the SEEAC algorithm to calculate the stability margin η SE (τ) is greater than the threshold ε 1 (τ), and its fault clearing time τ is less than or equal to the threshold ε 2 , identify it as a stable case, and go to step 14, otherwise go to step 3.

[0055] figure 1 Step 3 in the above discloses a calculation method that reflects the time-varying degree of the research example: apply the SEEAC algorithm to obtain the critical cle...

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Abstract

The invention discloses a quick robust classification method of preconceived faults for power system transient stability assessment and belongs to the technical field of power systems and automation thereof. The method is based on an extended equal area criterion and divides examples in a preconceived fault universal set into five classifications, i.e., stable, doubtfully stable, critical, doubtfully instable and instable by deeply mining different allowance information and comparison results thereof contained by transient stability analysis algorithms with different integration steps, reflecting the time-varying degree of research examples and forming identification rules for different classifications of transient stability severity in combination with fault information. The quick robust classification method of preconceived faults for power system transient stability assessment can realize high-efficiency, reliable and reasonable classification of different classifications of transient stability severity of examples in the preconceived fault universal set, and has a great theoretical and engineering significance to deeply coordinate online transient stability analysis accuracy and speed and solve the problem of transient stability analysis taking account of uncertainty factors.

Description

technical field [0001] The invention belongs to the technical field of electric power systems and automation thereof. More precisely, the invention relates to a fast and robust classification method for predictive faults in transient stability evaluation of electric power systems. Background technique [0002] The power system is a typical large-scale non-autonomous nonlinear system. The large number of components in the system and the complexity of the model make the solution of transient stability analysis easy to fall into the "curse of dimensionality". The solution speed and accuracy have always been considered as an irreconcilable pair. contradiction. [0003] The EEAC algorithm framework composed of static EEAC (SEEAC), dynamic EEAC (DEEAC) and integrated EEAC (IEEAC) algorithms with complementary characteristics provides a solid foundation for reconciling these contradictions. [0004] The IEEAC algorithm is based on the disturbed trajectory given by the step-by-step...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 薛禹胜黄天罡薛峰李威刘福锁宋晓芳王昊昊
Owner STATE GRID ELECTRIC POWER RES INST
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