Frederic Nollet

A fuzzy sliding mode-based power control design for wind turbine

These last years, the use of wind energy has increased considerably. In this paper, the model of the wind electrical conversion system (WECS) is developed. The considered WECS is composed of an induction generator connected to the wind turbine. The goal of this paper is to control the power generated by the WECS to the grid. We propose a new control strategy based on fuzzy logic and sliding mode in order to control the power of the WECS transmitted to the grid and to make the WECS adaptable to different constraints. A Simulation study is done to prove the validation of the strategy used in power control. Conclusions are summarized in the last section.

PID and Sliding Mode Control-SMC for a Motor-pump Voltage in a Photovoltaic- PV System based on MPPT Controller

In this paper, a simulation model of a solar cell is defined to allow estimation of the electrical behavior of the cell with respect changes on environmental parameter of temperature and irradiance. Maximum Power Point Trackers (MPPT) play an important role in photovoltaic (PV) power systems because they maximize the power output from a PV system for a given set of conditions, and therefore maximize the array efficiency. DC/DC converters together with maximum power point tracking systems (MPPT) are used to avoid the energy losses. Different algorithms have been proposed for maximum power point tracking, the Incremental Conductance (IncCond) method is studied in this work. We present in this paper the implementation of a photovoltaic model using Matlab/Simulink, which can be representative of PV cell module, for easy use on simulation platform. Next, a voltage control of a photovoltaic system is presented in order to have a constant voltage at the output, always keeping the system to work at maximum power. For this, two methods of control of the output voltage are presented. The first is to use a proportional, integral & derivative controller (PID), while in the second a sliding mode controller (SMC) is used. This system is tested for a resistive load and for a centrifugal pump driven by a permanent magnetic DC (PMDC) motor. The simulation results are carried out using Matlab/Simulink. General Terms Photovoltaic system; voltage control.

Maximum power point tracking techniques for wind energy systems using three levels boost converter

This paper presents modeling and simulation of three level Boost DC-DC converter in Wind Energy Conversion System (WECS). Three-level Boost converter has significant advantage compared to conventional Boost. A maximum power point tracking (MPPT) method for a variable speed wind turbine using permanent magnet synchronous generator (PMSG) is also presented. Simulation of three-level Boost converter topology with Perturb and Observe algorithm and Fuzzy Logic Control is implemented in MATLAB/SIMULINK. Results of this simulation show that the system with MPPT using fuzzy logic controller has better performance to the Perturb and Observe algorithm: fast response under changing conditions and small oscillation.

A Fuzzy-PI Control Technique Designed for Power Control of Wind Turbine Based on Induction Generator

In this paper, we develop the overall model of the wind energy conversion systems (WECS) structure based on induction generator (IG). The goal of this paper is to control the power generated by the WECS and transmitted to the grid. We propose a new control strategy based on fuzzy logic in order to control the power of the WECS. The main drawback is that the WECS is highly nonlinear. An adaptive Fuzzy-PI power controller is proposed to overcome this problem. A Simulation study is done to validate the strategy used in power control.

Using Neuro Fuzzy PI techniques in wind turbine control

In this paper, we develop the overall model of the wind energy conversion systems (WECS) structure based on induction generator (IG). The goal of this paper is to control the power generated by the WECS and transmitted to the grid. We propose a new control strategy based on Neuro-fuzzy technique in order to control the power of the WECS. The main drawback is that the WECS is highly nonlinear. An adaptive Neuro-Fuzzy-PI power controller is proposed to overcome this problem. A Simulation study is done to validate the strategy used in power control.

Optimization of the Photovoltaic Installation Structure

The output power induced in the photovoltaic modelling depends on solar radiation and temperature of the solar cells. Therefore, to maximize the efficiency of the renewable energy system, it is necessary to track the maximum power point of the array. This paper presents modelling and simulation of a grid connected photovoltaic (PV) system with maximum power point tracking (MPPT). The system composed of a PV array, boost converter with MPPT, load. The proposed one or more of the photovoltaic is break down, the switches will be one or off for find the maximum power point we used the method P&O. We propose a new method of maximum power point tracking for photovoltaic system. It uses a sampling measure of the PV array power and voltage then determines an optimal increment required to have the optimal operating voltage which permits maximum power tracking.