Electric power system dynamic safety assessment method based on hybrid integration model

A power system, dynamic security technology, applied to biological neural network models, electrical components, circuit devices, etc., can solve the problems of low learning ability, generalization ability, excellent evaluation accuracy and evaluation speed, and insufficient generalization ability of big data

Active Publication Date: 2020-08-25
CHINA THREE GORGES UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its disadvantages are low learning ability for big data, insufficient generalization ability, and limited applicability
[0006] To sum up, the current methods for power s...

Method used

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  • Electric power system dynamic safety assessment method based on hybrid integration model
  • Electric power system dynamic safety assessment method based on hybrid integration model
  • Electric power system dynamic safety assessment method based on hybrid integration model

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Experimental program
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Embodiment

[0110] The present invention is tested on an IEEE 39 node system and a 1648 node system, wherein the IEEE 39 node system includes 39 nodes and 10 generators. The 1648-node system contains system elements such as 1648 nodes, 313 generators and 2294 transmission lines. The test of the present invention is carried out on a computer equipped with an Intel Core i7 processor and 8GB memory, and the test results have been obtained. Through PSS / E software to simulate a series of faults in the line, combined with the historical operation data of the power system, 4215 samples were obtained for the IEEE 39-node system, and 8936 samples were obtained for the 1648-node system. The test process was carried out by five-fold cross-validation method verify.

[0111] The hybrid ensemble model of the present invention adopts 100 ELMs and 100 RVFLs to integrate, and in the test process, adopts accuracy rate AC, precision rate PR, recall rate RE and the harmonic mean F of PR and RE 1 metrics to...

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Abstract

An electric power system dynamic safety assessment method based on a hybrid integration model comprises the following steps: 1, constructing corresponding dynamic safety indexes, and establishing an initial sample set containing a plurality of electric power system operation variables and the corresponding safety indexes; 2, constructing an efficient sample set; 3, obtaining a dynamic safety evaluation model capable of accurately evaluating the operation condition of the power system; and step 4, based on real-time monitoring data of a synchronous vector measurement device, selecting key characteristic variable data and inputting the key characteristic variable data into a DSA model to realize online DSA of the power system. The invention is to provide an electric power system dynamic safety assessment method which is good in generalization ability, and the method has the advantages of being rapid and accurate in assessment, is beneficial for power grid workers to take effective prevention and control measures in time, and can effectively avoid loss caused by faults of the power system.

Description

technical field [0001] The invention belongs to the field of dynamic security assessment of electric power systems, and in particular relates to a method for dynamic security assessment of electric power systems based on hybrid integration models. Background technique [0002] With the rapid development of our country's society and economy, the power system industry has also undergone major changes, and people's dependence on the power system is becoming stronger and stronger. With the rapid development of the power system, the access of large-scale renewable energy and the wide-area interconnection of the power system, the security and stability of the power system have become particularly prominent. The importance of system security control and dynamic security assessment cannot be ignored. How to use the most effective control decision in a wide area and in a short time has become a key issue in improving the dynamic stability of power systems. Timeliness and accuracy ar...

Claims

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Application Information

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IPC IPC(8): H02J3/00G06Q50/06G06Q10/06G06N3/04G06K9/62
CPCH02J3/00G06Q10/06393G06Q50/06H02J2203/20G06N3/045G06F18/2113
Inventor 刘颂凯刘炼陈浩晏光辉钟浩邱立鲍刚周颖谭超李迎春袁建华张彬桥胡文斌
Owner CHINA THREE GORGES UNIV
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