Probabilistic evaluation of wind power generation
The power supplied by wind turbine generators (WTG) is widely random following the stochastic nature of weather conditions. For planning and decision making purposes, understanding and evaluation of the behaviour and distribution of WTG's output power are crucial. Monte Carlo simulation enables...
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Institute of Physics Publishing
2023
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| author | Razali N.M.M. Misbah M. |
| author2 | 36440450000 |
| author_facet | 36440450000 Razali N.M.M. Misbah M. |
| author_sort | Razali N.M.M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The power supplied by wind turbine generators (WTG) is widely random following the stochastic nature of weather conditions. For planning and decision making purposes, understanding and evaluation of the behaviour and distribution of WTG's output power are crucial. Monte Carlo simulation enables the realization of artificial futures by generating a huge number of sample paths of outcomes to perform this analysis. The paper presents an algorithm developed for a random wind speed generator governed by the probability density function of Weibull distribution and evaluates the WTG's output by using the power curve of wind turbines. The method may facilitate assessment of suitable turbine site as well as generator selection and sizing. � Published under licence by IOP Publishing Ltd. |
| format | Conference paper |
| id | my.uniten.dspace-30064 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Institute of Physics Publishing |
| record_format | dspace |
| spelling | my.uniten.dspace-300642023-12-29T15:44:16Z Probabilistic evaluation of wind power generation Razali N.M.M. Misbah M. 36440450000 55812106800 Electric power generation Monte Carlo methods Probability density function Site selection Wind turbines Number of samples Output power Power curves Probabilistic evaluation Random winds Stochastic nature algorithm conference proceeding decision making Monte Carlo analysis power generation probability density function renewable resource Weibull theory wind power wind turbine wind velocity Weibull distribution The power supplied by wind turbine generators (WTG) is widely random following the stochastic nature of weather conditions. For planning and decision making purposes, understanding and evaluation of the behaviour and distribution of WTG's output power are crucial. Monte Carlo simulation enables the realization of artificial futures by generating a huge number of sample paths of outcomes to perform this analysis. The paper presents an algorithm developed for a random wind speed generator governed by the probability density function of Weibull distribution and evaluates the WTG's output by using the power curve of wind turbines. The method may facilitate assessment of suitable turbine site as well as generator selection and sizing. � Published under licence by IOP Publishing Ltd. Final 2023-12-29T07:44:16Z 2023-12-29T07:44:16Z 2013 Conference paper 10.1088/1755-1315/16/1/012028 2-s2.0-84881116392 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881116392&doi=10.1088%2f1755-1315%2f16%2f1%2f012028&partnerID=40&md5=7217fa25bc99ad2b8e0a239407e99854 https://irepository.uniten.edu.my/handle/123456789/30064 16 1 12028 All Open Access; Gold Open Access Institute of Physics Publishing Scopus |
| spellingShingle | Electric power generation Monte Carlo methods Probability density function Site selection Wind turbines Number of samples Output power Power curves Probabilistic evaluation Random winds Stochastic nature algorithm conference proceeding decision making Monte Carlo analysis power generation probability density function renewable resource Weibull theory wind power wind turbine wind velocity Weibull distribution Razali N.M.M. Misbah M. Probabilistic evaluation of wind power generation |
| title | Probabilistic evaluation of wind power generation |
| title_full | Probabilistic evaluation of wind power generation |
| title_fullStr | Probabilistic evaluation of wind power generation |
| title_full_unstemmed | Probabilistic evaluation of wind power generation |
| title_short | Probabilistic evaluation of wind power generation |
| title_sort | probabilistic evaluation of wind power generation |
| topic | Electric power generation Monte Carlo methods Probability density function Site selection Wind turbines Number of samples Output power Power curves Probabilistic evaluation Random winds Stochastic nature algorithm conference proceeding decision making Monte Carlo analysis power generation probability density function renewable resource Weibull theory wind power wind turbine wind velocity Weibull distribution |
| url_provider | http://dspace.uniten.edu.my/ |