Research on optimal configuration of fault current limiter based on reliability in large power network

• Autorzy: Zeng Jianjun , Zhang Yonggao

Identyfikatory

DOI

10.24425/aee.2020.133924

• Języki publikacji: EN

Abstrakty

EN

With the availability of UHV engineering technology, the scale of the power network is expanding, and the level of the short-circuit current is getting higher, which brings hidden trouble to the safe and stable operation of the power network. Further this article issued a method that optimized the configuration of a current limiter based on the reliability of the power network. According to the reliability analysis under the influence of a short circuit, the quantitative evaluation of reliability of the power network is realized by the calculation of the short-circuit current. A quantitative model is established among reliability evaluation and the short-circuit current as well as load loss, the candidate installation site of a current limiter can be determined according to reliability quantification results. This method uses the particle swarm optimization algorithm to optimize the distribution of the limiter, aiming at the reliability level and the minimum number of current limiters in the short circuit of a power grid. Finally, taking the actual power grid of a province as an example, the result shows that this method can reduce the search space of the optimal solution, optimize the configuration of the current limiter, and effectively limit the short-circuit current and improve the reliability of the power network.

Słowa kluczowe

EN

configuration optimization; fault current limiter; reliability; short circuit current

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2020
• Tom: Vol. 69, nr 3
• Strony: 661--677
• Opis fizyczny: Bibliogr. 17 poz., rys., tab., wz.

Twórcy

autor

Zeng Jianjun

• School of Electrical and Automation Engineering, East China Jiaotong University China

autor

Zhang Yonggao

• School of Electrical and Automation Engineering, East China Jiaotong University China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).