Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Guðrún Margrét Jónsdóttir"'
Publikováno v:
Renewable Energy. 143:368-376
The paper presents a systematic method to build dynamic stochastic models from wind speed measurement data. The resulting models fit any probability distribution and any autocorrelation that can be approximated through a weighted sum of decaying expo
Autor:
Guðrún Margrét Jónsdóttir, Konstantinos Plakas, Nicolaos Antonio Cutululis, Matti Koivisto, Poul Ejnar Sørensen
Publikováno v:
Koivisto, M, Jónsdóttir, G M, Sørensen, P, Plakas, K & Cutululis, N 2020, ' Combination of meteorological reanalysis data and stochastic simulation for modelling wind generation variability ', Renewable Energy, vol. 159, pp. 991-999 . https://doi.org/10.1016/j.renene.2020.06.033
As installed wind generation capacities increase, there is a need to model variability in wind generation in detail to analyse its impacts on power systems. Utilization of meteorological reanalysis data and stochastic simulation are possible approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ab003b16787ce25316dc80b773158de
https://orbit.dtu.dk/en/publications/e97b70e3-ed33-4b45-b5b2-cc6725652bca
https://orbit.dtu.dk/en/publications/e97b70e3-ed33-4b45-b5b2-cc6725652bca
Autor:
Luigi Vanfretti, Guðrún Margrét Jónsdóttir, Luis Rouco, Muhammad Shoaib Almas, Luis Diez-Maroto
Publikováno v:
Electric Power Systems Research. 148:245-253
Excitation Boosters (EB) are designed to improve transient stability of synchronous generators equipped with bus fed static excitation systems. They can be controlled using either local or remote s ...
Publikováno v:
Electric Power Systems Research. 189:106673
The renewable energy currently generated in the Irish system is almost entirely supplied by wind power plants. However, in the sea around Ireland there is a significant tidal energy potential. This paper provides a comparison of these two renewable e