Contribution to the modeling and control of renewable energy systems, application to a hybrid PV/wind/storage system

Abstract

This thesis is a contribution to the problem of hybridization of renewable energy systems,more precisely,a hybrid system composed of photovoltaic and a wind turbine system.This system is supposed to be equipped with power electronic converters and storage system(batteries).The first objective is to extract the maximum power from each source.To do this,our approach is based on tracking of maximum power point,P&O method is used,this technique with a dual purpose,is applied to the PV system.In order to achieve the maximum power form wind turbine for different wind speed,MPPT controller is implemented on the rectifier side for the extraction of maximum power.MPPT controller is implemented using Fuzzy Logic-Proportional Integral(FL-PI)control technique.When the wind speed increases, the real power generated by the Permanent Magnet synchronous Generator(PMSG)based WECS increases accordingly to MPPT controller.The potential to use DC directly from WECS requires proper rectification of power(from AC to DC).In the rectification process,the basic Space Vector Pulse Width Modulation(SVPWM)technique is applied to the WECS designed with (PMSG).This content is involved in a DC-link control using the Feed Forward-Fuzzy Logic(FF-FL)method to control the first conversion stage.It is associated with the second stage predictive current control strategy Finite Control Set Model Predictive Control(FCS-MPC)applied to three-phase three-level inverter,based grid connected hybrid PV-wind system.In this thesis,the first processing step extracts the maximum power from hybrid system field to feed the DC-link stage.To maintain a suitable power intermission control, it must keep the DC-link voltage at its reference value,then assessment the amplitude of the grid currents.Simple regulators have an extended time to respond and considerable voltage ripples over steady-state,Feed Forward technique overcomes these issues.The selectors of adaptive DC-link voltage controller are used to assure a high efficiency of the system,the thesis proposed an adaptive DC-Voltage Feed Forward by adjusting reference DC-Voltage according to CPI(common point of interconnection)voltage.The fuzzy logic with optimal number of rules as well as the membership functions is used to compensate the DC-Link losses.To compensate the current undesirable harmonic with a unity power factor,Finite Control Set-Model Predictive Control(FCS-MPC)is suggested for current control of three-phase three-level Neutral-Point Clamped(NPC)inverter in terms of evaluated cost function that reduces the error current.