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author:

Zhang, Yi (Zhang, Yi.) [1] (Scholars:张逸) | Lan, Tian (Lan, Tian.) [2] | Li, Chuandong (Li, Chuandong.) [3] | Cai, Weijie (Cai, Weijie.) [4] | Lin, Zhiyu (Lin, Zhiyu.) [5] | Lin, Jinrong (Lin, Jinrong.) [6]

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EI

Abstract:

The transmission network is generally considered as three-phase balanced, while the consideration of three-phase unbalance is mainly on distribution networks. However, with the increasingly interconnection of renewable energy, such as wind energy, onto transmission networks, non-adoption of commutation long transmission lines usually results in unbalanced line parameters. Therefore, developing reliable three-phase power flow algorithms for transmission and distribution (T&D) systems becomes more and more important for the reliable and safe operation of emerging power systems. Among the many three-phase power flow algorithms, Newton Raphson method (NRM) and its variants occupy a large share, due to their ability in dealing with multiple sources and looped sub-networks. However, they are sensitive to the initial value, and can hardly ensure convergence to a physically meaningful solution with improper initial values, especially for three-phase unbalanced system. To this end, a general three-phase power flow method for T&D systems is proposed based on the holomorphic embedding method (HEM), and the advantages of the proposed method compared with traditional NRM in solving the power flow problem to a physically meaningful solution are theoretically analyzed. Based on the IEEE 33 system, the modified IEEE 123 system, and a regional power grid in China, it is verified that the proposed method has the advantages of high computational efficiency, reliable converging ability, and independence to the initial value. © 2024 The Author(s)

Keyword:

Computational efficiency Load flow optimization Network embeddings Newton-Raphson method Power distribution networks Windmill

Community:

  • [ 1 ] [Zhang, Yi]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 2 ] [Lan, Tian]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 3 ] [Li, Chuandong]College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fujian Province, 350100, China
  • [ 4 ] [Cai, Weijie]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 5 ] [Lin, Zhiyu]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 6 ] [Lin, Jinrong]Electric Power Research Institute of State Grid Fujian Electric Power Company, Fujian Province, Fuzhou; 350007, China

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Source :

International Journal of Electrical Power and Energy Systems

ISSN: 0142-0615

Year: 2024

Volume: 162

5 . 0 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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