Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm.
A brushless double-fed induction generator (BDFIG) has shown tremendous success in wind turbines due to its robust brushless design, smooth operation, and variable speed characteristics. However, the research regarding controlling of machine during low voltage ride through (LVRT) need greater attent...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0265611 |
| _version_ | 1811289779032031232 |
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| author | Ahsanullah Memon Mohd Wazir Bin Mustafa Waqas Anjum Ahsan Ahmed Shafi Ullah Saleh Masoud Abdallah Altbawi Touqeer Ahmed Jumani Ilyas Khan Nawaf N Hamadneh |
| author_facet | Ahsanullah Memon Mohd Wazir Bin Mustafa Waqas Anjum Ahsan Ahmed Shafi Ullah Saleh Masoud Abdallah Altbawi Touqeer Ahmed Jumani Ilyas Khan Nawaf N Hamadneh |
| author_sort | Ahsanullah Memon |
| collection | DOAJ |
| description | A brushless double-fed induction generator (BDFIG) has shown tremendous success in wind turbines due to its robust brushless design, smooth operation, and variable speed characteristics. However, the research regarding controlling of machine during low voltage ride through (LVRT) need greater attention as it may cause total disconnection of machine. In addition, the BDFIG based wind turbines must be capable of providing controlled amount of reactive power to the grid as per modern grid code requirements. Also, a suitable dynamic response of machine during both normal and fault conditions needs to be ensured. This paper, as such, attempts to provide reactive power to the grid by analytically calculating the decaying flux and developing a rotor side converter control scheme accordingly. Furthermore, the dynamic response and LVRT capability of the BDFIG is enhanced by using one of the very intelligent optimization algorithms called the Salp Swarm Algorithm (SSA). To prove the efficacy of the proposed control scheme, its performance is compared with that of the particle swan optimization (PSO) based controller in terms of limiting the fault current, regulating active and reactive power, and maintaining the stable operation of the power system under identical operating conditions. The simulation results show that the proposed control scheme significantly improves the dynamic response and LVRT capability of the developed BDFIG based wind energy conversion system; thus proves its essence and efficacy. |
| first_indexed | 2024-04-13T04:01:25Z |
| format | Article |
| id | doaj.art-c1ce3ceb60624c52966ee4aa14845652 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T04:01:25Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-c1ce3ceb60624c52966ee4aa148456522022-12-22T03:03:29ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01175e026561110.1371/journal.pone.0265611Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm.Ahsanullah MemonMohd Wazir Bin MustafaWaqas AnjumAhsan AhmedShafi UllahSaleh Masoud Abdallah AltbawiTouqeer Ahmed JumaniIlyas KhanNawaf N HamadnehA brushless double-fed induction generator (BDFIG) has shown tremendous success in wind turbines due to its robust brushless design, smooth operation, and variable speed characteristics. However, the research regarding controlling of machine during low voltage ride through (LVRT) need greater attention as it may cause total disconnection of machine. In addition, the BDFIG based wind turbines must be capable of providing controlled amount of reactive power to the grid as per modern grid code requirements. Also, a suitable dynamic response of machine during both normal and fault conditions needs to be ensured. This paper, as such, attempts to provide reactive power to the grid by analytically calculating the decaying flux and developing a rotor side converter control scheme accordingly. Furthermore, the dynamic response and LVRT capability of the BDFIG is enhanced by using one of the very intelligent optimization algorithms called the Salp Swarm Algorithm (SSA). To prove the efficacy of the proposed control scheme, its performance is compared with that of the particle swan optimization (PSO) based controller in terms of limiting the fault current, regulating active and reactive power, and maintaining the stable operation of the power system under identical operating conditions. The simulation results show that the proposed control scheme significantly improves the dynamic response and LVRT capability of the developed BDFIG based wind energy conversion system; thus proves its essence and efficacy.https://doi.org/10.1371/journal.pone.0265611 |
| spellingShingle | Ahsanullah Memon Mohd Wazir Bin Mustafa Waqas Anjum Ahsan Ahmed Shafi Ullah Saleh Masoud Abdallah Altbawi Touqeer Ahmed Jumani Ilyas Khan Nawaf N Hamadneh Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm. PLoS ONE |
| title | Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm. |
| title_full | Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm. |
| title_fullStr | Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm. |
| title_full_unstemmed | Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm. |
| title_short | Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm. |
| title_sort | dynamic response and low voltage ride through enhancement of brushless double fed induction generator using salp swarm optimization algorithm |
| url | https://doi.org/10.1371/journal.pone.0265611 |
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