The aim of this study is to design a controller, based on model predictive control (MPC), to smooth the wind power output, which is generated from a wind farm, and subject to a variety …
M Khalid, AV Savkin - IEEE Transactions on Power Systems, 2012 - ieeexplore.ieee.org
This paper presents a method to improve the short-term wind power prediction at a given turbine using information from numerical weather prediction and from multiple observation …
To meet electricity demand using renewable energy supply, wind farm locations should be chosen to minimise variability in output, especially at night when solar photovoltaics cannot …
Y Xiong, X Zha, L Qin, T Ouyang… - IET Renewable Power …, 2017 - Wiley Online Library
In this study a forecasting model for wind power ramps based on strongly convective weather classification is presented. First, the dynamics and thermodynamic behaviours of …
M Khalid, AV Savkin - Proceedings of the 48h IEEE Conference …, 2009 - ieeexplore.ieee.org
The aim of this study is to design a controller based on model predictive control (MPC) theory to smooth wind power generation along with the controlled storage of the wind …
D Cannon, D Brayshaw, J Methven… - Meteorologische …, 2017 - centaur.reading.ac.uk
State-of-the-art wind power forecasts beyond a few hours ahead rely on global numerical weather prediction models to forecast the future large-scale atmospheric state. Often they …
MT Zareifard, AV Savkin - 2015 10th Asian Control Conference …, 2015 - ieeexplore.ieee.org
Implementing battery energy storage system (BESS) in wind power plant reduces its fluctuation and hence makes this renewable energy resource more dispatchable. The aim of …
K Hongesombut, T Piroon… - 2013 10th International …, 2013 - ieeexplore.ieee.org
Smart grid is a driving force for the development associated with renewable technologies. The use of renewable energy sources for electricity production has been increasingly …