18 research outputs found

    Field Oriented Control of PMSM Supplied by Photovoltaic Source

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    The Permanent magnet synchronous motor (PMSM) is suitable for so much application, such as traction, aeronautics and generally in industrial automated processes. In our work, we will study the application of PMSM in renewable energies especially solar pumping. Our objective is to model the complete system, including the photovoltaic inverter, PMSM and the centrifugal pump under Matlab/Simulink environment. Solar panels generate electrical energy as direct current by direct conversion of solar radiation using semiconductor materials made of monocrystalline, polycrystalline or amorphous silicon. The energy received depends on radiation and on ambient temperature. The permanent magnet synchronous motor (PMSM) is not stable in open loop. To control the PMSM in terms of speed, torque or position, we need to implement vector control.We will establish the field oriented control of a PMSM supplied by photovoltaic source with a focus on their applications in variable speed domain

    A photovoltaic cell model based on nominal data only

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    A model of a photovoltaic array is developed using only the nominal values of the modules: open-circuit voltage, short-circuit current, maximum power point, and the temperature coefficients of the first two parameters. Its originality is that, although the model uses four degrees of freedom for the characteristics I-U at nominal junction temperature, these are fitted without using the temperature coefficients. After that, the temperature coefficients are still available for the determination of the temperature behavior of the elements of the model. A numerical example is presented and the source code used is made available

    Un modèle de cellule photovoltaïque avec effet thermique établi sur base des valeurs nominales

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    Un modèle de module photovoltaïque est développé en utilisant seulement les valeurs nominales du module : tension en circuit ouvert, courant de court-circuit, tension et courant au point à puissance maximale, ainsi que les coefficients de température des deux premiers paramètres et de la puissance maximale. Son originalité est que, bien que le modèle n’utilise que quatre degrés de liberté pour fixer la caractéristique I-U à la température de jonction de référence, ceux-ci sont identifiés sans faire appel aux coefficients de température. Ces trois derniers sont donc encore disponibles pour déterminer le comportement en température des éléments du modèle. Un exemple numérique est présenté et le programme de calcul utilisé est rendu disponible

    Avantages du convertisseur élévateur de tension par rapport au convertisseur abaisseur de tension pour la poursuite du point optimum de fonctionnement dans les applications photovoltaïques

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    Les dispositifs électriques utilisant les cellules solaires comme source d’énergie sont conçus pour fonctionner au point de puissance maximum de celles-ci. Pour maintenir ce fonctionnement lorsque l’éclairement solaire et la température varient, un dispositif de poursuite du point à puissance maximum (MPPT) est utilisé. Beaucoup de MPPT sont constitués d’un convertisseur DC/DC de type abaisseur de tension ( Buck) ou élévateur de tension (Boost). Dans cette communication, nous comparons l’efficacité énergétique de ces deux types de convertisseur et montrons qu’un MPPT basé sur la configuration « Boost » conduit à une plus grande énergie fournie, donc à une meilleure utilisation des cellules solaires

    Enhancing Energy Efficiency for Optimal Multiple Photovoltaic DG and DSTATCOM Integration for Techno-Economic and Environmental Analysis: A Case Study of Adrar City Distribution System

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    The insertion of renewable energy resources in existing distribution systems has effectively improved its performance and operation. This paper presents the efficiency of the optimal integration of multiple Photovoltaic DG (PV-DG), and Distribution Static Compensator (DSTATCOM) simultaneously in a practical Power Distribution System (PDS), through the maximization of the Multi-objective function (MOF) based on the Real Power Loss Level (RPLL), the Short Circuit Level (SCL), the Voltage Deviation Level (VDL), the Net Saving Level (NSL), and Environmental Pollution Reduction Level (EPRL) by various Inertia Weight Particle Swarm Optimization (IW-PSO) algorithms. The proposed IW-PSO algorithms applied in the practical Adrar city 205-bus distribution system in Algeria. The obtained results prove the efficiency of the algorithms in terms of achieving the minimum power loss and improvement of the voltage profiles, the EIW-PSO exhibits the best results of MOF compared to other algorithms

    Study of Solar Radiation in View of Photovoltaic Systems Optimization

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    The meteorological data concerning solar radiation are generally not sufficient to allow quantifying all the phenomena which occur when a photovoltaic panel receives solar light. It is therefore, necessary to supplement these data by using astronomical calculation for the sun position and modelling the atmosphere. A simple method to calculate global, diffuse and direct irradiance on vertical and tilted surfaces for all uniform sky conditions (clear sky and overcast sky), developed in Constantine (Algeria) and Louvain-la-neuve (Belgium), has been compared with experimental data ob-tained at Ghardaia (Algeria). In spite of its simplicity, the method furnishes reasonably good predictions, in comparison with experimental data, and can be proposed as a simplified tool for design purposes. This method relies on the fact that we can calculate the irradiance on a plane with arbitrary orientation and inclination, based on the measurement of a single irradiance value on a reference plane

    Fuzzy Logic-Based Perturb and Observe Algorithm with Variable Step of a Reference Voltage for Solar Permanent Magnet Synchronous Motor Drive System Fed by Direct-Connected Photovoltaic Array

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    Photovoltaic pumping is considered to be the most used application amongst other photovoltaic energy applications in isolated sites. This technology is developing with a slow progression to allow the photovoltaic system to operate at its maximum power. This work introduces the modified algorithm which is a perturb and observe (P&O) type to overcome the limitations of the conventional P&O algorithm and increase its global performance in abrupt weather condition changes. The most significant conventional P&O algorithm restriction is the difficulty faced when choosing the variable step of the reference voltage value, a good compromise between the swift dynamic response and the stability in the steady state. To adjust the step reference voltage according to the location of the operating point of the maximum power point (MPP), a fuzzy logic controller (FLC) block adapted to the P&O algorithm is used. This allows the improvement of the tracking pace and the steady state oscillation elimination. The suggested method was evaluated by simulation using MATLAB/SimPowerSystems blocks and compared to the classical P&O under different irradiation levels. The results obtained show the effectiveness of the technique proposed and its capacity for the practical and efficient tracking of maximum power

    A New Approach for Optimizing Management of a Real Time Solar Charger Using the Firebase Platform Under Android

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    With the continuous growth of energy consumption, the rationalization of energy has become a priority. The photovoltaic energy sector remains a major occupation for researchers in the field of production optimization or storage methods. The concept developed in this work is a mixed optimization approach for energy management during battery charging with a duty cycle. A selective collaborative algorithm intervenes to choose and use the appropriate results of the few techniques to optimize the charging time of a battery and estimate its state of charge by using the minimum possible tools. This is done using a collective database that is accessible in real time. It also effectively allows the synchronization of information between several customers. This approach is performed on a mobile application on android, through a Google Firebase platform that allows us to secure collaborative access between multiple customers and use the results of the calculations of some algorithms. It gives us the values obtained by the various sensors in real time to accelerate the charging speed of the battery. The validation of this approach led us to practice a few scenarios using an Arduino board to show that this approach has a better performance

    Fuzzy Logic-Based Perturb and Observe Algorithm with Variable Step of a Reference Voltage for Solar Permanent Magnet Synchronous Motor Drive System Fed by Direct-Connected Photovoltaic Array

    No full text
    Photovoltaic pumping is considered to be the most used application amongst other photovoltaic energy applications in isolated sites. This technology is developing with a slow progression to allow the photovoltaic system to operate at its maximum power. This work introduces the modified algorithm which is a perturb and observe (P&O) type to overcome the limitations of the conventional P&O algorithm and increase its global performance in abrupt weather condition changes. The most significant conventional P&O algorithm restriction is the difficulty faced when choosing the variable step of the reference voltage value, a good compromise between the swift dynamic response and the stability in the steady state. To adjust the step reference voltage according to the location of the operating point of the maximum power point (MPP), a fuzzy logic controller (FLC) block adapted to the P&O algorithm is used. This allows the improvement of the tracking pace and the steady state oscillation elimination. The suggested method was evaluated by simulation using MATLAB/SimPowerSystems blocks and compared to the classical P&O under different irradiation levels. The results obtained show the effectiveness of the technique proposed and its capacity for the practical and efficient tracking of maximum power
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