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A Matrix-Inversion-Free Fixed-Point Method for Distributed Power Flow Analysis

delete2022-01-01
delete7
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OA
AI
K
Kishan Prudhvi Guddanti
Y
Yang Weng *
B
Baosen Zhang
DOI:10.1109/TPWRS.2021.3098479delete
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摘要

摘要

En 中文
The power flow (PF) problem is a fundamental problem in power system engineering. Many popular solvers like PF and optimal PF (OPF) face challenges, such as divergence and network information sharing between multi-areas. One can try to rewrite the PF problem into a fixed point (FP) equation (more stable), which can be solved exponentially fast. But, existing FP methods are not distributed and also have unrealistic assumptions such as requiring a specific network topology. While preserving its stable nature, a novel FP equation that is distributed in nature is proposed to calculate the voltage at each bus. This distributed computation enables the proposed algorithm to compute the voltages for multi-area networks without sharing private topology information. Unlike existing distributed methods, the proposed method does not use any approximate network equivalents to represent the neighboring area. Thus, it is approximation-free, and it also finds use cases in distributed AC OPFs. We compare the performance of our FP algorithm with state-of-the-art methods, showing that the proposed method can correctly find the solutions when other methods cannot, due to high condition number matrices. In addition, we empirically show that the FP algorithm is more robust to bad initialization points than the existing methods.
Keyword:
Mathematical model
Jacobian matrices
Reactive power
Approximation algorithms
Network topology
Topology
Standards
Distributed power flow
fixed-point equation
multi-area network power flow
ill-conditioned problems

期刊

IEEE Transactions on Power Systems 封面图
IEEE Transactions on Power Systems
IF:
7.2
论文数:
1.1W
被引数:
5.0W

机构

A
Arizona State University
学者数:
2.7W
论文数: 2.5W
被引数: 4.2W
A
arizona state university-tempe
学者数:
1.5W
论文数: 1.2W
被引数: 13
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