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Abstract
For an ecologic and economic development, the renewable energy sources (photovoltaic
and wind) can be considered as a good alternative. The present work focuses the
modelization and the optimisation of a grid connected renewable energy system, based on
photovoltaic wind energy systems
The first part of this manuscript makes a state of the art of the different topologies in wind
and photovoltaic energy.
The second part is devoted to electrical energy fed to the grid using the doubly fed
induction generator. The conception of the machine permits to control the power exchanged
between the stator and the grid by modifying the rotor voltages via a bidirectional converter.
To achieve this, a vector control of the generator is performed with separately active and
reactive stator power control. This latter is elaborated and tested by synthesizing three
different robust controllers: first order sliding mode (MG1), high order sliding mode (MG2)
and model reference adaptive controller (MRAC). The performances of the system are
analyzed and compared in terms of reference tracking, robustness, and disturbances rejection.
For unknown turbine characteristics, the tracking of the optimal power characteristic is done
with an MPPT algorithm based on the fuzzy logic theory. The third proposed technique has
been experimentally validated, on the 1kW hardware prototype based on a dSPACE-1104 in
the LGEB laboratory.
The third part deals with an optimal operation of a grid-connected photovoltaic system.
The used single stage permits to fulfil two tasks: on one hand, the optimisation of the primary
source has without a regulation of the DC bus voltage, via a modified Incremental
conductance MPPT algorithm.
On the other hand, a vector control of the active and reactive power amounts is done via an
hysteresis current controller.
This study was verified by computer simulation with satisfied results. However, this situation
provides an incentive to consider alternative control approaches.
Keywords: Photovoltaic, Wind turbine, Doubly-fed induction generator (DFIG), Maximum
Power Point Tracking (MPPT), Fuzzy logic (FLC), Sliding modes, model reference Adaptive
Control (MRAC), Vector control.