TY - GEN
T1 - Maximum Power Point Tracking
T2 - 53rd International Universities Power Engineering Conference, UPEC 2018
AU - Narayana, Mahinsasa
AU - Sunderland, Keith
AU - Putrus, Ghanim
AU - Conlon, Michael
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/20
Y1 - 2018/11/20
N2 - Wind Energy Conversion Systems (WECS) cannot react instantaneously to wind speed variations. Therefore, the performance of the system and the energy conversion capability of the rotor - particularly for urban locations, characterized as having an erratic wind resource - are negatively affected. This study investigates the use of a time series technique as a means to improve the performance and conversion efficiency of wind turbines. In this regard, simulation of the wind sensor maximum power point tracking (MPPT) method (ideal situation) through MATLAB-Simulink™ is considered. Analysis of the Adaptive Linear Prediction (ALP) technique as a real time control reference to improve optimal control of wind turbines suggests that predictive techniques such as ALP can offer increased energy yield opportunities. Indeed, the energy capture technique investigated in this study, suggested that an energy yield increase in excess of 5% is achievable.
AB - Wind Energy Conversion Systems (WECS) cannot react instantaneously to wind speed variations. Therefore, the performance of the system and the energy conversion capability of the rotor - particularly for urban locations, characterized as having an erratic wind resource - are negatively affected. This study investigates the use of a time series technique as a means to improve the performance and conversion efficiency of wind turbines. In this regard, simulation of the wind sensor maximum power point tracking (MPPT) method (ideal situation) through MATLAB-Simulink™ is considered. Analysis of the Adaptive Linear Prediction (ALP) technique as a real time control reference to improve optimal control of wind turbines suggests that predictive techniques such as ALP can offer increased energy yield opportunities. Indeed, the energy capture technique investigated in this study, suggested that an energy yield increase in excess of 5% is achievable.
KW - Linear adaptive prediction
KW - Power mapping technique
KW - Wind energy conversion systems
KW - Wind speed estimation
KW - Wind turbine
UR - https://www.scopus.com/pages/publications/85059933948
U2 - 10.1109/UPEC.2018.8541911
DO - 10.1109/UPEC.2018.8541911
M3 - Conference contribution
AN - SCOPUS:85059933948
T3 - Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018
BT - Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 September 2018 through 7 September 2018
ER -
