2022
DOI: 10.1016/j.egyr.2022.01.023
|View full text |Cite
|
Sign up to set email alerts
|

Effects of induction machine parameters on its performance as a standalone self excited induction generator

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 17 publications
(9 citation statements)
references
References 35 publications
0
6
0
Order By: Relevance
“…The curves in figure (8) indicate that with increasing speed, the generator starts with a smaller capacity and vice versa.…”
Section: A No Load Characteristicsmentioning
confidence: 97%
See 1 more Smart Citation
“…The curves in figure (8) indicate that with increasing speed, the generator starts with a smaller capacity and vice versa.…”
Section: A No Load Characteristicsmentioning
confidence: 97%
“…In this context, the use of multiphase asynchronous machines turns out being one of the suggestions made to increase operational reliability. Moreover, the theme of the multiphase asynchronous machine in general and the autonomous multiphase asynchronous generator in particular has undergone significant development [8][9]. Six phase induction generator (SPIG) can participate in the self-generation of electric power at a wide range of wind speeds.…”
Section: Introductionmentioning
confidence: 99%
“…(3) 𝑉 𝑑𝑟 = 𝑖 𝑑𝑟 𝑟 𝑟 + 𝑝𝜆 𝑑𝑟 − (𝑤 − 𝜔 𝑟 )𝜆 𝑞𝑟 (4) Motion equations which describe the dynamic behavior of the rotor's speed in terms of mechanical and electromagnetic torque are jointly given in (10) (Khan et al, 2022).…”
Section: Dynamic Modelling Of Seig With Loadmentioning
confidence: 99%
“…In this analysis the optimum excitation capacitance is selected experimentally utilizing the test-rig. An optimum excitation capacitance for SEIGs is defined to be the one which is able to establish rated no-load voltage across SEIG terminals at the rated input speed [35].…”
Section: Selection Of Excitation and Compensation Capacitancesmentioning
confidence: 99%