A Predictor-corrector Affine Power Flow Iteration Algorithm Based on Fixed Noise Element

被引：0

作者：

Shao Z. ^{[1
]}

Huang G. ^{[1
]}

Zhang Y. ^{[1
]}

Chen F. ^{[1
]}

机构：

[1] Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fuzhou

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2021年 / 41卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Complex affine; Distributed generation (DG); Power flow analysis; Predictor-corrector; Uncertainty;

D O I：

10.13334/j.0258-8013.pcsee.200123

中图分类号：

学科分类号：

摘要：

Affine power flow algorithm is critical for solving the uncertain power flow. It is necessary to improve the computational efficiency and reduce the conservatism of the algorithm. In the paper, based on the fixed noise element, a predictor-corrector affine equation iterative model was proposed. Meanwhile, the optimal correction strategy was proposed to adjust the noise element coefficient to ensure the completeness while reducing the conservatism. Furthermore, the power-voltage affine model with noise element correlation was established based on the characteristics of load demand. Simultaneously, the affine power flow equation was established based on the power-voltage affine model. Finally, a Gauss-Seidel and a Newton-Raphson affine power flow algorithm based on predictor-corrector method were proposed. It is verified that the proposed algorithm can reduce the conservatism with higher computational efficiency and accelerate convergence speed. © 2021 Chin. Soc. for Elec. Eng.

引用

页码：2331 / 2340

页数：9

共 23 条

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