NDLI: Promising framework based on multistep continuous Newton scheme for developing robust PF methods

Content Provider	IET Digital Library
Author	Véliz, Marcos Tostado Kamel, Salah Jurado, Francisco
Abstract	Solving power-flow (PF) problem of ill-conditioned systems is still a challenge in realistic power systems due to most of available techniques are quite inefficient. This study aims to address this issue by introducing a novel PF solution paradigm. It basically reformulates the traditional continuous Newton's method in a multistep scheme, so that, the variables are progressively refined each step using different numerical arrangements. The developed solution paradigm envisages a novel family of PF techniques. For the sake of exemplify, two novel methods based on the introduced solution paradigm are developed. They are tested in several large-scale realistic ill-conditioned systems under different stressing and demanding conditions. Up to eight well known PF solution techniques are considered for comparison. Results shown that the introduced solution paradigm constitutes a promising framework for developing robust and efficient PF methods, which may be widespread used in industry applications.
Starting Page	265
Ending Page	274
Page Count	10
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 2, Jan (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.1077
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-11-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Continuous Newton Method Interpolation And Function Approximation Load Flow Multistep Continuous Newton Newton Method Numerical Analysis Numerical Arrangements PF Solution Technique Power System Power Transmission, Distribution And Supply Power-flow Problem Robust PF Method
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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