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

被引:0
|
作者
Zhang, Yi [1 ]
Lan, Tian [1 ]
Li, Chuandong [2 ]
Cai, Weijie [1 ]
Lin, Zhiyu [1 ]
Lin, Jinrong [3 ]
机构
[1] College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou,350108, China
[2] College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fujian Province, 350100, China
[3] Electric Power Research Institute of State Grid Fujian Electric Power Company, Fujian Province, Fuzhou,350007, China
基金
中国国家自然科学基金;
关键词
Computational efficiency - Load flow optimization - Network embeddings - Power distribution networks - Windmill;
D O I
10.1016/j.ijepes.2024.110271
中图分类号
学科分类号
摘要
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)
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