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: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science
2022
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/103673/1/MohdWazirMustafa2022_DynamicResponseandLowVoltage.pdf |
| _version_ | 1796867506485329920 |
|---|---|
| author | Memon, Ahsanullah Mustafa, Mohd. Wazir Anjum, Waqas Ahmed, Ahsan Ullah, Shafi Altbawi, Saleh Masoud Abdallah Ahmed Jumani, Touqeer Khan, Ilyas Hamadneh, Nawaf N. |
| author_facet | Memon, Ahsanullah Mustafa, Mohd. Wazir Anjum, Waqas Ahmed, Ahsan Ullah, Shafi Altbawi, Saleh Masoud Abdallah Ahmed Jumani, Touqeer Khan, Ilyas Hamadneh, Nawaf N. |
| author_sort | Memon, Ahsanullah |
| collection | ePrints |
| 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 | 2024-03-05T21:28:17Z |
| format | Article |
| id | utm.eprints-103673 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:28:17Z |
| publishDate | 2022 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | utm.eprints-1036732023-11-23T08:13:20Z http://eprints.utm.my/103673/ Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm Memon, Ahsanullah Mustafa, Mohd. Wazir Anjum, Waqas Ahmed, Ahsan Ullah, Shafi Altbawi, Saleh Masoud Abdallah Ahmed Jumani, Touqeer Khan, Ilyas Hamadneh, Nawaf N. TK Electrical engineering. Electronics Nuclear engineering 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. Public Library of Science 2022-05-12 Article PeerReviewed application/pdf en http://eprints.utm.my/103673/1/MohdWazirMustafa2022_DynamicResponseandLowVoltage.pdf Memon, Ahsanullah and Mustafa, Mohd. Wazir and Anjum, Waqas and Ahmed, Ahsan and Ullah, Shafi and Altbawi, Saleh Masoud Abdallah and Ahmed Jumani, Touqeer and Khan, Ilyas and Hamadneh, Nawaf N. (2022) Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm. PLoS ONE, 17 (5). pp. 1-24. ISSN 1932-6203 http://dx.doi.org/10.1371/journal.pone.0265611 DOI:10.1371/journal.pone.0265611 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Memon, Ahsanullah Mustafa, Mohd. Wazir Anjum, Waqas Ahmed, Ahsan Ullah, Shafi Altbawi, Saleh Masoud Abdallah Ahmed Jumani, Touqeer Khan, Ilyas Hamadneh, Nawaf N. Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm |
| 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/103673/1/MohdWazirMustafa2022_DynamicResponseandLowVoltage.pdf |
| work_keys_str_mv | AT memonahsanullah dynamicresponseandlowvoltageridethroughenhancementofbrushlessdoublefedinductiongeneratorusingsalpswarmoptimizationalgorithm AT mustafamohdwazir dynamicresponseandlowvoltageridethroughenhancementofbrushlessdoublefedinductiongeneratorusingsalpswarmoptimizationalgorithm AT anjumwaqas dynamicresponseandlowvoltageridethroughenhancementofbrushlessdoublefedinductiongeneratorusingsalpswarmoptimizationalgorithm AT ahmedahsan dynamicresponseandlowvoltageridethroughenhancementofbrushlessdoublefedinductiongeneratorusingsalpswarmoptimizationalgorithm AT ullahshafi dynamicresponseandlowvoltageridethroughenhancementofbrushlessdoublefedinductiongeneratorusingsalpswarmoptimizationalgorithm AT altbawisalehmasoudabdallah dynamicresponseandlowvoltageridethroughenhancementofbrushlessdoublefedinductiongeneratorusingsalpswarmoptimizationalgorithm AT ahmedjumanitouqeer dynamicresponseandlowvoltageridethroughenhancementofbrushlessdoublefedinductiongeneratorusingsalpswarmoptimizationalgorithm AT khanilyas dynamicresponseandlowvoltageridethroughenhancementofbrushlessdoublefedinductiongeneratorusingsalpswarmoptimizationalgorithm AT hamadnehnawafn dynamicresponseandlowvoltageridethroughenhancementofbrushlessdoublefedinductiongeneratorusingsalpswarmoptimizationalgorithm |