This study investigates the application of a genetic algorithm to identify the global maximum power point in photovoltaic systems operating under partial shading conditions. When solar irradiance is unevenly distributed across the photovoltaic array, the resulting power-voltage characteristic exhibits multiple local maxima, among which only one represents the true global maximum power point. To guarantee optimum system efficiency, it is essential to reach this global point. This work highlights the effectiveness of the genetic algorithm in detecting the genetic algorithm for tracking the global maximum power point, even in the presence of complex shadows. The proposed approach is evaluated in different non-uniform shading scenarios, and in each case the global maximum power pointis correctly identified, whatever its position on the irradiation profile.

Introduction. Wind energy conversion system is getting a lot of attention since, they are provide several advantages, such as cost competitive, environmentally clean, and safe renewable power source as compared with the fossil fuel and nuclear power generation. A special type of induction generator, called a doubly fed induction generator is used extensively for high-power wind energy conversion system. They are used more and more in wind turbine applications due to the advantages of variable speed operation range and its four quadrants active and reactive power capabilities, high energy efficiency, and the improved power quality. Wind energy conversion systems require a good choice of power electronic converters for the improvement of the quality of the electrical energy produced at the generator terminals. There are several power electronics converters that are the most popular such as the two stage back-back converter. Because of the disadvantage of these converters to produce large harmonics distortions, we will choose using of three-phase matrix converter. Purpose. Work presents a direct power control using space vector modulation for a doubly fed induction generator based wind turbine. The main strategy control is to control the active and reactive powers and reduce the harmonic distortion of stator currents for variable wind speed. The novelty of the work is to use a doubly fed induction machine and a three pulses matrix converter to reduce the low cost, volume and the elimination of the grid side converter controller are very attractive aspects of the proposed topology compared to the conventional methods such as back-to-back converters. Simulation results are carried out on a 1.5 MW of wind energy conversion system connected to the grid. The efficiency of the proposed system has been simulated and high results performances are evaluated to show the validity of the proposed control strategy to decouple and control the active and reactive power for different values of wind speed.

Renewable energy-based power generation systems are being developed to ensure an efficient energy transition and meet the ever-growing energy demand. The hybrid system is a promising solution when the expansion of the distribution network is impractical or not economical. The integration of renewable energy sources provides energy security, substantial savings and reduced greenhouse gas emissions, enabling the nation to meet emissions targets. Solar and wind renewable energies represent alternatives to fossil fuels thanks to their remarkable advantages. However, the intermittent nature of their availability requires the use of a storage system. In this article, an optimal energy allocation strategy is established for a grid connected system integrated with photovoltaic systems, wind turbine and energy storage batteries. Simulation results are obtained for the optimum capacity of the photovoltaic system and the wind turbine system, state of charge / discharge of the battery and energy exchange with the grid.

This paper describes a photovoltaic generator connected to the electrical network through an active parallel power filter in order to improve the quality of energy. The proposed system contains an active filter element alimented by a photovoltaic system, with a global method of perturbe and observe is applied for the search for the maximum power point, associated with a voltage inverter. This three-phase active filter is connected to the network, supplying a dynamic nonlinear load consisting of a diode rectifier bridge associated with a direct current motor. The simulation results using Matlab / Simulink environment prove the robustness of the direct drive which simultaneously guarantees the compensation of harmonic currents, the correction of the power factor and the injection of solar power into the electricity grid. Several regimes are approached depending on the levels of solar photovoltaic power injected. In addition, the adaptability of the active filter is checked against a variation in the dynamic load.

Nowadays, the development concept of renewable energy conversion facilities is adopted by the majority of countries as a property to be promoted urgently in order to provide global and sustainable solutions to environmental challenges and to cope with the undeniable depletion of fossil energy resources. Indeed, renewable energies (solar, wind, etc.) are a promising alternative for achieving an energy transition and sustainable economic development. In view of the report on the accelerated depletion of fossil resources due to the ever increasing energy needs and the challenges of environmental preservation of carbon dioxide emissions, the use of renewable resources for the production of electricity is a promising alternative. However, solar and wind resources are of intermittent types because the wind turbine output power varies with the wind speed at different conditions and the solar energy also varies with the hourly, daily and seasonal variation of solar irradiation, we propose in this work, behavioural study and analysis of an hybrid generation system combining solar and wind energy connected to the grid with a battery (energy storage) to ensure that the system performs under different climatic conditions.

The need for electrical energy is growing. Then, we can deduce a significant consumption of fossil energy resources (coal, oil etc.), which is becoming a cause of air pollution throughout the world. Even if at least these fossil resources are still available, they will not be available in the near future, which is why decisionmakers are encouraging research into the use of alternative renewable energy resources. This paper presents a mathematical model of the photovoltaic generator. Simulation results under different environmental climatic conditions are presented and discussed. The obtained results show that the perturbation and observation maximum power point tracking technique provides fast and high performances under different irradiance and temperature levels.

Due to the growing of the power electronics, especial attention has been given to the use of new generation of power converters, AC/AC matrix converter to which provide a direct power converter AC/AC, bi-directional power flow, almost sinusoidal input and output waveform. In this paper, we present the performance study of a variable-speed wind turbine based on doubly fed induction generator fed by matrix converter using the maximum power point tracking method to extract the maximum power available. The whole system is presented in d-q-synchronous reference frame. The control scheme is tested and the performances are evaluated by simulation results. The simulation results obtained under MatLab/Simulink show the effectiveness and validity of the considered control.

The reliability of power electronics system such as three phase inverter is important in many industrial processes. The monitoring in industrial systems represents an important economic objective. To guarantee the safety and the continuity in production, exploitation and to record the useful events with the feedback experience for the curative maintenance. One of the possible faults that occur in inverter is the open switch fault. The cost of this schedule can be high, and this justifies the development of fault diagnostic methods. In this work we present a reliable strategy for monitoring and detection of open switch in Space Vector Modulation of voltage source inverter (SVM-VSI) faults using the fuzzy logic approach. The principle of the suggested approach strategy is based on the acquisition of stator currents, to calculate the average absolute values of currents (AAVC), which allows the real-time detection and localization of inverter IGBT open-circuit faults using just the motor phase currents. A model of the system is built using MATLAB/SIMULINK. Simulation results are presented showing the monitoring approach performance under distinct operating conditions.

In the recent years and with the strong technological development of semi conductors, the three phase induction motor is one of the most used electric machines in variable speed system in the different field of industry. Good reability of power electronic systems is essential not only for security system and for people but also to reduce coasts of maintenance. The rapid and accurate diagnosis of any system employing electrical drive system remains one of the current problems. This paper presents three methods and fault detection and isolation of an AC drive system under open fault conditions in the inverter through modeling and simulation of the system. The proposed methods are achieved by using open circuit in the inverter. The obtained simulation results show clearly the possibility of extracting signatures to detect and isolate faults.

This paper presents a variable speed control of the squirrel induction machine fed by a three-phase matrix converter. Principle of vector control for induction motor and vector control strategy in synchronous reference frame are described. The use of matrix converter allows the availability of better switching devices, bi-directional power flow and sinusoidal input and output waveform. Also, the advantages of matrix converter are combined with the advantages of the field oriented control technique where Venturini algorithm is applied. We study the operation of the motor in the four regions of speed-torque plane. At this effect, the simulation results of the whole system are carried out with four quadrants of motor operations and the performance results obtained are presented and analyzed. A good performance of induction motor fed by a matrix converter is proved.

The three-phase induction machines (IM) is large importance and are being widely used as electromechanical system device regarding for their robustness, reliability, and simple design with well developed technologies. This work presents a reliable method for diagnosis and detection of rotor broken bars faults in induction machine. The detection faults are based on monitoring of the current signal. Also the calculation of the value of relative energy for each level of signal decomposition using package wavelet, which will be useful as data input of adaptive Neuro-Fuzzy inference system (ANFIS).In this method, fuzzy logic is used to make decisions about the machine state. The adaptive Neuro-Fuzzy inference system is able to identify the IM bearing state with high precision. This technique is applied under the MATLAB (R).

Many researchers have contributed to the development of a firm foundation for analysis and design of control applications in grid-connected renewable energy sources. This paper presents an intelligent control algorithm fond on artificial neural networks for active and reactive power controller in grid-connected photovoltaic generation system. The system is devices into two parts in which each part contains an inverter with control algorithm. A DC/DC converter in output voltage established by control magnitude besides maximum power point tracker algorithm always finds optimal power of the PV array in use. A DC/AC hysteresis inverter designed can synchronize a sinusoidal current output with the grid voltage and accurate an independent active and reactive power control. Simulation results confirm the validation of the purpose. Neurocontroller based active and reactive power presents an efficiency control that guarantees good response to the steps changing in active and reactive power with an acceptable current/voltage synchronism. In this paper the power circuit and the control system of the presented grid-connected photovoltaic generation system is simulated and tested by MatLab/Simulink.

This article tends on the designing of renewable-storage electrical system for asynchronous machine application. The machine requires a photovoltaic energy as a primary source of renewable energy. Such as the major drawback of solar sources are neither continuous nor regular in the time. To overcome this problem, a battery energy storage system will be added to make sure the continuity of the operation machine. Generally, electrical machine is driven by using sliding mode control where the major problem in this control technique design is chattering phenomenon which can be defeated using a sliding surface based on fuzzy logic. The proposed technique is performed with the proposed control system. A simulation test of the system for varied load motor conditions proved that the system is preferment. When, the generated power from PV is superior that the demands, the rest is stored in the battery. In the opposite condition, PV and battery required load. Moreover, the system which consists of machine and its control is enabling to produce electrical energy when it is functioning in the other sense of rotation. Four quadrant machine operations guarantee many possibilities of charging and discharging of the battery that assure the continuity of operating system.

In this work the performance comparison study of the proportional integral and fuzzy logic speed controllers which used for the speed control of doubly fed induction machine is presented. For a long time, electromechanical systems used the squirrel-cage induction motors, as main actuators, however, doubly fed induction motors, present of estimable advantages at variable speed drive. From that, the performances of conventional speed controllers are sensitive to parameter variations of the motor. So, in this paper, the analyze of performances of speed fuzzy logic controller is presented. The simulation results showed that the fuzzy logic controller ensure the best dynamic performances in rotor resistance and load variations. (C) 2015 The Authors. Published by Elsevier Ltd.

In this work, the modeling and control of the Wind Energy Conversion Systems (WECS) based on doubly fed induction generator (DFIG) are presented. Firstly, we developed the models of the different elements of the conversion chain. After, we consider the vector control strategy of the active and reactive powers in order to ensure an optimum operation. Finally, the dynamic model of a DFIG and wind turbine grid connected system is determined in the dq-synchronous reference frame. The numerical simulation results obtained with Matlab/Simulink software present the behaviors of the sub-synchronous and supersynchronous operation modes. Keywords— wind power generation, doubly fed induction generator, renewable energy, modeling, control.

The high development of renewable energies research field has noticeably led to growing interest to connect such as devices of the electric distribution network. In this work an effectiveness power control strategy adapted on photovoltaic generation system is employed, whereas the performances of the global system are analyzed using MatLab/Simulink environment software. The employed strategy is the decoupling power technique based on the d-q currents components control using the proportional integral controllers. Moreover, a dc/dc boost converter adopted by MPPT control is proposed for the PV generated power enhancement. The main objective of the proposed structure is the improvement of the grid parameters under the power injection of photovoltaic generators. The simulation results confirm the global system ability for dc power control inside the PV generation system, transfer of the generated power to the distribution network and separately control of active and reactive powers. Inside grid, the proposed control enables to compensate the reactive power.

This paper presents the study, realization of power converter with different topologies and configurations to test a two level inverter realized. Also, this work is selected to study of the modulation techniques, specially the Pulse Width Modulation switching algorithms, namely the sine-triangle PWM is considered in this application. The work presents the fundamental methods as well as reviews some research. The methods are divided into the traditional voltage source methods easily lend themselves to Analogical/Digital and Digital/Analogical conversion signals via interface carte of Arduino mega 2560 or the programmable logic device implementation. Although, we discuses numerous regulation parameters of the proposed PWM method. This operation can be important in the improvement of power quality which requires voltage sources and knowledge of the output signal shape. Keywords— Power conversion, Inverter, Pulse Width Modulation, Arduino Mega 2560.

In this work, the Wind Energy Conversion Systems (WECS) based on doubly fed induction generator (DFIG) model is built. First, we consider the vector control strategy of the active and reactive powers in order to ensure an optimum operation. The whole system is presented in d-q-synchronous reference frame. After, the design of Adaptive Fuzzy Gain Scheduling of Proportional Integral Controller (AFGPI) for WECS is described, where the optimization by Fuzzy rules is utilized online to adjust the parameters of PI controller based on the error and its first derivative. Finally, the control of the active and reactive power using fuzzy-PI controller is simulated using software Matlab/Simulink, studies on a 1.5 MW DFIG wind generation system compared with conventional proportional integral controller. Performance and robustness results obtained are presented and analyzed.