Topology identification of low voltage distribution network based on current injection method

• Autorzy: Ge Haotian , Xu Bingyin , Chen Wengyin , Zhang Xinhui , Bi Yongjian

Identyfikatory

DOI

10.24425/aee.2021.136985

• Języki publikacji: EN

Abstrakty

EN

The structure of the low-voltage distribution network often changes. The change of topology will affect fault detection, fault location, line loss calculation, etc. It leads to fault detection error, inaccurate positioning and abnormal line loss calculation. This paper presents a new method to automatically identify the topology of a low-voltage power grid by using the injection current signal. When the disturbance current signal is injected into the low-voltage line, the current upstream of the injection point will change, and the current downstream of the injection point will not be affected. It is proved theoretically by using the superposition principle. With this method, the disturbance current signal can be injected into the line in turn, and the topology can be identified by observing the change of the current in line. The correctness of the method is proved by Matlab simulation and laboratory verification.

Słowa kluczowe

EN

current injection; low-voltage distribution network; topology identification

PL

prąd wtrysku; sieć dystrybucyjna niskiego napięcia; identyfikacja topologii

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2021
• Tom: Vol. 70, nr 2
• Strony: 297--306
• Opis fizyczny: Bibliogr. 15 poz., rys., wz.

Twórcy

autor

Ge Haotian

• Shandong University of Technology, China

autor

Xu Bingyin

• Shandong University of Technology, China

autor

Chen Wengyin

• Shandong University of Technology, China

autor

Zhang Xinhui

• Shandong University of Technology, China

autor

Bi Yongjian

• Shandong University of Technology, 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 (2021).