Contribution to the study of a small-scale wind energy conversion chain.
In the context of the Climate & Energy Package, wind-based electricity generation is a necessary alternative for meeting electricity consumption needs through renewable energy-based production, thanks to its technological progress on the one hand and its comparatively low costs on the other.
Against this backdrop, this thesis intends to make a contribution by working towards the optimum design of a small-scale wind production system connected to the electrical network.
An emulator for performing Kw-scale bench-based testing has been proposed and validated. An MPPT device needs to be developed to obtain maximum energy output. Direct torque or speed control or indirect voltage control is possible. By supposing the unknown blade characteristic, a fuzzy logic approach is considered. A control based on the theory of Internal Model Control (IMC) has been developed to overcome the nonlinear nature of the DC bus system, for improved integration into the electrical network. Furthermore, two nonlinear sliding mode controls have been tested. A comparison of the three techniques was presented to determine which of the three algorithms provides the best performances in terms of output and quality of the energy injected into the network. A dedicated test bench has been developed alongside the system simulations/modelling.
Loubna Benaaouinate is a PhD student at the National Graduate School for Electricity and Mechanical Engineering (ENSEM) in partnership with EIGSI La Rochelle – Casablanca. She conducts her research at the EIGSI La Rochelle laboratory, focusing on wind energy conversion systems and control strategies for variable speed wind turbine systems connected to the electrical network.