Holomorphic Embedding Probabilistic Power Flow Calculation Method for AC/DC System Based on Polynomial Chaos Expansion

被引：0
|
作者：
Li, Xue [1 ]
Fu, Yunyue [1 ]
Jiang, Tao [1 ]
Li, Guoqing [1 ]
机构：
[1] Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin,132012, China
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2024年 / 48卷 / 18期
关键词：
In order to quickly and accurately quantify the influence of uncertainty of wind power output on power flow distribution of AC/DC power system; a holomorphic embedding probabilistic power flow calculation method of AC/DC power system based on polynomial chaos expansion (PCE) is proposed. Firstly; the optimal orthogonal basis function is selected according to the probability distribution characteristics of wind power output; and the PCE expression approximating the probability distribution characteristics of wind power output is constructed. Secondly; the PCE expression is introduced into the holomorphic embedding power flow equation of AC/DC power system; and the holomorphic embedding probabilistic power flow calculation model of AC/ DC power system based on PCE is constructed. Thirdly; the holomorphic embedding probabilistic power flow model is transformed into a high-dimensional deterministic holomorphic embedding power flow model by Galerkin projection. Then; with the deterministic holomorphic embedding power flow model solving method; the transformed high-dimensional deterministic holomorphic embedding power flow model is solved; and the probability distribution characteristics of power flow in AC/DC power system are calculated according to the obtained PCE approximation coefficient. Finally; the accuracy and effectiveness of the proposed method are verified by the modified PJM 5-bus; IEEE 30-bus and IEEE 118-bus AC/DC test systems. © 2024 Automation of Electric Power Systems Press. All rights reserved;
D O I：
10.7500/AEPS20240129007
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页码：177 / 188
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