2016
DOI: 10.1016/j.ijepes.2016.03.050
|View full text |Cite
|
Sign up to set email alerts
|

Model order reduction based dynamic equivalence of a wind farm

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
11
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 31 publications
(11 citation statements)
references
References 17 publications
0
11
0
Order By: Relevance
“…In the literature, various techniques such as: a) model reduction e.g. selective modal analysis [7], balanced truncation [8], singular perturbation analysis [9] and coherency-based model reduction technique [10], [11]; b) parallel computing e.g. the multi-decomposition approach [12], the waveform relaxation method [13], the instantaneous relaxation method [14], and the practical parallel implementation techniques [15], [16]; c) semi-analytic methods [17]- [20] have been suggested to improve the time complexity of dynamic simulation.…”
Section: Introductionmentioning
confidence: 99%
“…In the literature, various techniques such as: a) model reduction e.g. selective modal analysis [7], balanced truncation [8], singular perturbation analysis [9] and coherency-based model reduction technique [10], [11]; b) parallel computing e.g. the multi-decomposition approach [12], the waveform relaxation method [13], the instantaneous relaxation method [14], and the practical parallel implementation techniques [15], [16]; c) semi-analytic methods [17]- [20] have been suggested to improve the time complexity of dynamic simulation.…”
Section: Introductionmentioning
confidence: 99%
“…Any reasonable reduction in the mathematical model of each component of the power system may reduce the computational cost and simulation time. One solution is to present the wind turbine power curve models of the wind farm by a single or multiple aggregated models while maintaining a sufficient level of accuracy Ni et al (2016); Liu et al (2019).…”
Section: Introductionmentioning
confidence: 99%
“…For example, an equivalent model for wind farm reduction was proposed in [28] to cluster the same-feature wind turbines into a group. However, for a complex wake, the same feature presented a difficult problem to find the k-means clustering algorithm [29,30], k-median clustering algorithm [31], and k-nearest physical neighbor [32], which were proposed to uncover the clustered index.…”
Section: Introductionmentioning
confidence: 99%