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Holomorphic embedding method based Three-Phase power flow algorithm considering the sensitivity of the initial value

delete2024-11-01
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OA
AI
Y
Yi Zhang
兰天 (Tian Lan)
李成 cover
李成 (Chuandong Li) *
W
Weijie Cai
Z
Zhiyu Lin
J
Jinrong Lin
DOI:10.1016/j.ijepes.2024.110271delete
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Abstract

Abstract

En 中文
The transmission network is generally considered as three-phase balanced, while the consideration of threephase 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.
Keywords:
Three-phase power flow
Holomorphic embedding method
Transmission and distribution network
Convergency
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Journal

I
International Journal of Electrical Power and Energy Systems
IF:
5
Papers:
1.1W
Citations:
3.1W

Organization

S
State Grid Corporation of China
Scholars:
6.5K
Papers: 5.2K
Citations: 1.7K
F
fuzhou university
Scholars:
3.2W
Papers: 2.1W
Citations: 31