Computational Enhancement of Sparse Tableau via Block LU Factorization for Power Flow Studies-Reference-Cited by-同舟云学术

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Computational Enhancement of Sparse Tableau via Block LU Factorization for Power Flow Studies

Published:2023-09 Issue:5 Volume:38 Page:4974-4977
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Park Byungkwon¹^ORCID

Affiliation:

1. School of Electrical Engineering, Soongsil University, Seoul, South Korea

Funder

National Research Foundation of Korea

Korea Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/59/10224522/10143289.pdf?arnumber=10143289

Reference10 articles.

1. FPGA-Based High-Performance and Scalable Block LU Decomposition Architecture

2. Block LU factorization;demmel;J Numer Linear Algebra Appl,1992

3. MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

4. A tableau approach to power system analysis and design

5. Benefits of Sparse Tableau Over Nodal Admittance Formulation for Power-Flow Studies

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1. Node breaker model based transient stability simulations including protective devices modeling and time coordination;Electric Power Systems Research;2024-10

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