Fuzzy logic direct torque/power control for a self-excited induction generator driven by a variable wind speed turbine
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Fuzzy logic direct torque/power control for a self-excited induction generator driven by a variable wind speed turbine Clotaire Thierry Sanjong Dagang1 · Godpromesse Kenne1 · Fombu Andrew Muluh2 Received: 2 July 2020 / Revised: 1 September 2020 / Accepted: 28 September 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract This paper presents a new direct fuzzy control scheme for a decentralized wind power generation system with a wide operation range of wind speed variations. The proposed scheme makes use of direct fuzzy torque and power control laws to improve the performance of the system and more particularly the quality of energy inserted into the electrical grid. The direct fuzzy torque control law is used to generate the control signal of the converter on the generator side in order to extract the maximum power available at the turbine and also to maintain the stator flux of the machine at an acceptable level while the direct fuzzy power control law of the converter is used on the grid side to obtain a power efficiency close to unity. A comparison of simulation results between the proposed control method and the classical direct control method found in the literature, shows that the proposed control method provides better performance by improving trajectory tracking as well as robustness against variations in the internal parameters of the asynchronous generator (rotor resistance and stator resistance). It also ensures a supply of quality electrical energy into the electrical grid. Keywords Maximum power point tracking · Direct fuzzy torque control · Direct fuzzy power control · Decentralized power generation
1 Introduction The constant increase in energy consumption in all its forms and the associated polluting effects mainly caused by the combustion of fossil fuels are the main challenges faced by the energy sector in the world today. With two-third of its sources being fossil fuels, the power generation sector is classified as the largest consumer of primary energy sources. This sector is technically and economically capable of making significant efforts to reduce the impact of human activities on the
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Clotaire Thierry Sanjong Dagang [email protected] Godpromesse Kenne [email protected] Fombu Andrew Muluh [email protected]
1
Unité de Recherche d’Automatique et d’Informatique Appliquée (UR-AIA), Département de Génie Electrique, IUT Fotso Victor Bandjoun, Université de Dschang, B.P. 134, Bandjoun, Cameroun
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Laboratory of Research on Advanced Materials and Nonlinear Sciences (LaRAMaNS), Department of Physics, Faculty of Science, University of Buea, Buea, Cameroon
climate and environment. One possibility is to increase the rate of electricity production from non-fossil and renewable energy sources. Amongst renewable energy sources existing in the world today, wind energy offers the possibility to produce green energy. In the range of small wind turbines used for wind energy production, the squirrel-cage asynchronous generator has the advantage of low cost and robu
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