2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) 2017
DOI: 10.1109/greentech.2017.36
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of the Holomorphic Embedding Load Flow Method with Established Power Flow Algorithms and a New Hybrid Approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
13
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 13 publications
(13 citation statements)
references
References 12 publications
0
13
0
Order By: Relevance
“…In this sense, given that the same load flow algorithm is selected for the proposed and standard method, we conclude that their convergence properties are identical and described by properties of the base algorithm itself. Since load flow algorithms are well-documented in the literature, we refer the reader to it [11]- [15], [24]- [28].…”
Section: B Convergence Propertiesmentioning
confidence: 99%
“…In this sense, given that the same load flow algorithm is selected for the proposed and standard method, we conclude that their convergence properties are identical and described by properties of the base algorithm itself. Since load flow algorithms are well-documented in the literature, we refer the reader to it [11]- [15], [24]- [28].…”
Section: B Convergence Propertiesmentioning
confidence: 99%
“…The holomorphic embedding load flow method (HELF), 28,29 as a noniterative algorithm, does not require any simplifying assumption or initial values. It uses concepts within a complex analysis.…”
Section: Introductionmentioning
confidence: 99%
“…It uses concepts within a complex analysis. The shortcomings of HELF are shown through this comparison particularly concerning the computation time 28 …”
Section: Introductionmentioning
confidence: 99%
“…Steady-state transformer models are frequently employed in power system load flow simulations and other applications in which component modeling can be carried out in quasi -stationary regime [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ]. Different transformer models can be selected according to frequency range [ 10 , 11 , 12 ] and the required trade-off between precision and complexity.…”
Section: Introductionmentioning
confidence: 99%