Cascading Failure Identification System of Transmission Network Based on GA Genetic Algorithm
DOI: 10.23977/jeeem.2022.050206 | Downloads: 11 | Views: 491
Author(s)
Fuyu Deng 1
Affiliation(s)
1 Sichuan Vocational and Technical College, Suining, Sichuan 629000, China
Corresponding Author
Fuyu DengABSTRACT
Our country's power grids have been interconnected to form a super-large power grid. The scale and complexity of the power grid continue to increase, leading to an increasing risk of large-scale power outages, and the adverse impact of accidents on society and the national economy is also greater. Therefore, studying power system cascading failures and developing control theories and methods for such failures have important theoretical significance and application value. In this paper, the cascading failure identification system of transmission network based on GA genetic algorithm is studied. According to the related system structure, a cascading failure identification system structure based on GA genetic algorithm is proposed, and then the performance of the system is compared and analyzed on the basis. According to the experimental results, the system designed in this paper has only one group of faults with missed selection, and the correct rate of line selection is as high as 90%, while the traditional system has 2 groups of faults with missed and wrong selections, and the correct rate of line selection is 80%. Therefore, the simulation the results show that the accuracy of the system designed in this paper is higher than that of the standard system.
KEYWORDS
Cascading Failure, Power System, Transmission Grid Failure, GA Genetic AlgorithmCITE THIS PAPER
Fuyu Deng, Cascading Failure Identification System of Transmission Network Based on GA Genetic Algorithm. Journal of Electrotechnology, Electrical Engineering and Management (2022) Vol. 5: 40-47. DOI: http://dx.doi.org/10.23977/jeeem.2022.050206.
REFERENCES
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