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
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[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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