Open AccessMaximum power control of a wind generator with an energy storage system to fix the delivered power
Author(s) -
Abderraouf Boumassata,
D. Kerdoun,
O. Oualah
Publication year - 2022
Publication title -
elektrotehnìka ì elektromehanìka
Language(s) - English
Resource type - Journals
eISSN - 2309-3404
pISSN - 2074-272X
DOI - 10.20998/2074-272x.2022.2.07
Subject(s) - flywheel , cycloconverter , wind power , control theory (sociology) , maximum power point tracking , power (physics) , maximum power principle , flywheel energy storage , energy storage , electric power system , computer science , turbine , work (physics) , engineering , automotive engineering , control (management) , electrical engineering , photovoltaic system , physics , mechanical engineering , quantum mechanics , voltage , artificial intelligence , inverter
. The power extracted from the wind turbine and delivered to the electrical network must be maximum and constant and the whole system should be have a good compromise between efficiency and cost. In order to attenuate this objective, a doubly fed induction machine, a cycloconverter, a maximum power point tracking algorithm and a flywheel energy storage system constitute a very interesting solution among many others that have been proposed. Novelty. The novelty of the proposed work is to use a doubly fed induction machine and a three pulses cycloconverter to reduce the cost and to integrate a flywheel energy storage system between the wind generator and the electrical network to maintain the constancy of the power sent to the network, following the instability of the wind. The proposed work uses a maximum power point tracking algorithm to capture the optimal power available in the wind in order to increase the efficiency of the system. Results. A detailed study of the proposed system is presented with the detailed dynamic modeling equations and simulation results are conducted to show the performance and the efficiency of the suggested work.