چكيده به لاتين
Abstract:
According to the various advantages provided by renewable energy resources such as wind and solar energies, these resources are experiencing a fast development and also replacing traditional energy resources such as fossil fuels. Due to the variable and temporary nature of these resources and also the need for extracting the maximum power from them, different algorithms proposed for Maximum Power Point Tracking (MPPT) are briefly discussed in this thesis as the first step. Then, a new MPPT algorithm for PV systems has been proposed. The proposed method results in higher performance of maximum power point tracking. Next, different MPPT algorithms available for wind energy conversion systems are discussed and a suitable method is chosen to be employed in the studied system. Since employing DC-DC converters are necessary for implementing MPPT algorithms, a non-isolated multi-input DC-DC converter is suggested to be used in the hybrid renewable energy system at the next step and then, its performance is studied. Next, the input currents of this converter are controlled using Model Predictive Control (MPC) method and its merits and demerits compared to the classical control methods are discussed. It should be considered that the discrete model of the system is determined as the first step through this control method and then, the variables are controlled based on this model. As the final part of this project, the bidirectional power flow control between the DC link and the AC three-phase grid is studied and then, a control algorithm based on MPC method is proposed for the DC-AC bidirectional converter. It should be noted that the simulations are done for each section separately and the results are discussed. Finally, some conclusions are made and some suggestions are provided for the future work.
Keywords: PV cell, Wind energy, Maximum power point tracking, Bidirectional converter, Model Predictive control
