Prediction of switching impulse breakdown voltage of complex gap based on SVM

• Autorzy: Tang Zhenpeng , Qin Yuancheng , Wu Changsheng , Mai Ronghuan

Identyfikatory

DOI

10.24425/aee.2022.140725

• Języki publikacji: EN

Abstrakty

EN

Complex gaps may be formed when carrying out live working in substations, while the discharge characteristics of complex gaps are different from those of single gaps. This paper focuses on the prediction of critical 50% positive switching impulse breakdown voltage (𝑈_50,crit+) of phase-to-phase complex gaps formed in 220 kV substations. Firstly, several electric field features were defined on the shortest discharge path of the complex gap to reflect the electric field distribution. Then support vector machine (SVM) prediction models were established according to the connection between electric field distribution and breakdown voltage. Finally, the 𝑈_50,crit+ data of the complex gap were obtained through twice electric field calculations and predictions. The prediction results show that the minimum 𝑈_50,crit+ of phase-to-phase complex gaps is 1147 kV, and the critical position is 0.9 m away from the high voltage conductor, accounting for 27% of the whole gap. Both critical position and voltage are in good agreement with the values provided in IEC 61472.

Słowa kluczowe

EN

complex gap; electric field features; SVM

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2022
• Tom: Vol. 71, nr 2
• Strony: 507--521
• Opis fizyczny: Bibliogr. 26 poz., rys., tab., wz.

Twórcy

autor

Tang Zhenpeng

• Jiangmen Power Supply Bureau Co., Ltd. China

autor

Qin Yuancheng

• Jiangmen Power Supply Bureau Co., Ltd. China

• https://orcid.org/0000-0002-0891-0717

autor

Wu Changsheng

• School of Automation, Wuhan University of Technology China

autor

Mai Ronghuan

• Jiangmen Power Supply Bureau Co., Ltd. China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).