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Reliability Assessment of Generating Systems with Wind Power Penetration via BPSO

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@article{IJASEIT2311,
   author = {Athraa Ali Kadhem and Noor Izzri Abdul Wahab and Ishak Aris and Jasronita Jasni and Ahmed N. Abdalla and Yoshiaki Matsukawa},
   title = {Reliability Assessment of Generating Systems with Wind Power Penetration via BPSO},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {4},
   year = {2017},
   pages = {1248--1254},
   keywords = {Reliability assessment, Wind power, Generating system, Binary particle swarm optimisation, Weibull model.},
   abstract = {

The growing pervasiveness of the Wind Energy Conversion System (WECS) in power systems has a great influence on the electrical system reliability in relation to other conventional sources for power generation. This current study offers a binary particle swarm optimisation (BPSO) application with Weibull model to reliably evaluate the generation systems with a WECS. The proposed methodology is based on hourly time series wind speed and uses Weibull model and simulation of the operation of generation system, taking into consideration the random failures of conventional units of the system and the fluctuating wind energy of a WECS. The BPSO algorithm adopts intelligent research to explore  the meaningful system states and accelerate  their integrated convergence, so that makes it feasible to locate all possible failure states in the system states space in order to calculate the reliability indices with WECS. The numerical simulation of the suggested solution is compared with the established Monte Carlo simulation (MCS). The reliability test system (IEEE-RTS-79) is employed to show the effectiveness of the proposed algorithm.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2311},    doi = {10.18517/ijaseit.7.4.2311} }

EndNote

%A Ali Kadhem, Athraa
%A Abdul Wahab, Noor Izzri
%A Aris, Ishak
%A Jasni, Jasronita
%A N. Abdalla, Ahmed
%A Matsukawa, Yoshiaki
%D 2017
%T Reliability Assessment of Generating Systems with Wind Power Penetration via BPSO
%B 2017
%9 Reliability assessment, Wind power, Generating system, Binary particle swarm optimisation, Weibull model.
%! Reliability Assessment of Generating Systems with Wind Power Penetration via BPSO
%K Reliability assessment, Wind power, Generating system, Binary particle swarm optimisation, Weibull model.
%X 

The growing pervasiveness of the Wind Energy Conversion System (WECS) in power systems has a great influence on the electrical system reliability in relation to other conventional sources for power generation. This current study offers a binary particle swarm optimisation (BPSO) application with Weibull model to reliably evaluate the generation systems with a WECS. The proposed methodology is based on hourly time series wind speed and uses Weibull model and simulation of the operation of generation system, taking into consideration the random failures of conventional units of the system and the fluctuating wind energy of a WECS. The BPSO algorithm adopts intelligent research to explore  the meaningful system states and accelerate  their integrated convergence, so that makes it feasible to locate all possible failure states in the system states space in order to calculate the reliability indices with WECS. The numerical simulation of the suggested solution is compared with the established Monte Carlo simulation (MCS). The reliability test system (IEEE-RTS-79) is employed to show the effectiveness of the proposed algorithm.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2311 %R doi:10.18517/ijaseit.7.4.2311 %J International Journal on Advanced Science, Engineering and Information Technology %V 7 %N 4 %@ 2088-5334

IEEE

Athraa Ali Kadhem,Noor Izzri Abdul Wahab,Ishak Aris,Jasronita Jasni,Ahmed N. Abdalla and Yoshiaki Matsukawa,"Reliability Assessment of Generating Systems with Wind Power Penetration via BPSO," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 4, pp. 1248-1254, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.4.2311.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Ali Kadhem, Athraa
AU  - Abdul Wahab, Noor Izzri
AU  - Aris, Ishak
AU  - Jasni, Jasronita
AU  - N. Abdalla, Ahmed
AU  - Matsukawa, Yoshiaki
PY  - 2017
TI  - Reliability Assessment of Generating Systems with Wind Power Penetration via BPSO
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 4
Y2  - 2017
SP  - 1248
EP  - 1254
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Reliability assessment, Wind power, Generating system, Binary particle swarm optimisation, Weibull model.
N2  - 

The growing pervasiveness of the Wind Energy Conversion System (WECS) in power systems has a great influence on the electrical system reliability in relation to other conventional sources for power generation. This current study offers a binary particle swarm optimisation (BPSO) application with Weibull model to reliably evaluate the generation systems with a WECS. The proposed methodology is based on hourly time series wind speed and uses Weibull model and simulation of the operation of generation system, taking into consideration the random failures of conventional units of the system and the fluctuating wind energy of a WECS. The BPSO algorithm adopts intelligent research to explore  the meaningful system states and accelerate  their integrated convergence, so that makes it feasible to locate all possible failure states in the system states space in order to calculate the reliability indices with WECS. The numerical simulation of the suggested solution is compared with the established Monte Carlo simulation (MCS). The reliability test system (IEEE-RTS-79) is employed to show the effectiveness of the proposed algorithm.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2311 DO - 10.18517/ijaseit.7.4.2311

RefWorks

RT Journal Article
ID 2311
A1 Ali Kadhem, Athraa
A1 Abdul Wahab, Noor Izzri
A1 Aris, Ishak
A1 Jasni, Jasronita
A1 N. Abdalla, Ahmed
A1 Matsukawa, Yoshiaki
T1 Reliability Assessment of Generating Systems with Wind Power Penetration via BPSO
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 4
YR 2017
SP 1248
OP 1254
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Reliability assessment, Wind power, Generating system, Binary particle swarm optimisation, Weibull model.
AB 

The growing pervasiveness of the Wind Energy Conversion System (WECS) in power systems has a great influence on the electrical system reliability in relation to other conventional sources for power generation. This current study offers a binary particle swarm optimisation (BPSO) application with Weibull model to reliably evaluate the generation systems with a WECS. The proposed methodology is based on hourly time series wind speed and uses Weibull model and simulation of the operation of generation system, taking into consideration the random failures of conventional units of the system and the fluctuating wind energy of a WECS. The BPSO algorithm adopts intelligent research to explore  the meaningful system states and accelerate  their integrated convergence, so that makes it feasible to locate all possible failure states in the system states space in order to calculate the reliability indices with WECS. The numerical simulation of the suggested solution is compared with the established Monte Carlo simulation (MCS). The reliability test system (IEEE-RTS-79) is employed to show the effectiveness of the proposed algorithm.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2311 DO - 10.18517/ijaseit.7.4.2311