PV Research Papers - Academia.edu (original) (raw)

Monitoring et suivi des installations PV.
Conférence RBF: "Enjeux et développement du secteur photovoltaïque en Wallonie et à Bruxelles pour les années à venir".
Mont-Saint-Guibert, 7 novembre 2012.

The Linear Motion Servo System consists of a cart driven by a DC motor, via a rack and pinion mechanism to ensure consistent and continuous traction. Since many controllers canbe implemented in this system in order to control the... more

The Linear Motion Servo System consists of a cart driven by a DC motor, via a rack and pinion mechanism to ensure consistent and continuous traction. Since many controllers canbe implemented in this system in order to control the position, therefore the implementation of a practical controller must be investigated. A practical controller is proposed known as a Nominal Characteristic Trajectory Following (NCTF) to control the position of the cart. This paper presents a position tracking control strategy that meets the position tracking performance. The effectiveness of the proposed NCTF controller is evaluated and compared with Proportional-Velocity (PV) controller through simulation and experiment.

Dual input dc-dc converters have two input voltage sources or one input source and an energy storage system like ultra capacitor, PV, battery, super capacitors and a single output load. In order to process the power in hybrid energy... more

Dual input dc-dc converters have two input voltage sources or one input source and an energy storage system like ultra capacitor, PV, battery, super capacitors and a single output load. In order to process the power in hybrid energy systems using reduced part count, researchers have proposed several multi-input dc-dc power converter topologies to transfer power from different input voltage sources to the output. This paper compares nonisolated dual-input converter topologies topologically, based on the components count, various fields of application and different modes of operation for hybrid systems mainly used in electric vehicles and renewable energy systems composed of energy storage systems (ESSs) with different voltage-current characteristics. Dual input dc-dc converter topologies considered in this paper are investigated using MATLAB and PSIM software and output voltage and inductor current waveforms are shown.

The present power system is a complex network and specially the power distribution network is very intricate. Voltage sag is the most severe problem among all power quality issues. Voltage sag can cause critical power interruption in the... more

The present power system is a complex network and specially the power
distribution network is very intricate. Voltage sag is the most severe problem among
all power quality issues. Voltage sag can cause critical power interruption in the
distribution network. Generally, voltage sag occurs with the fault in the power system.
In this paper, the working of dynamic voltage restorer (DVR) for the compensation of
source voltage sag is presented. Here, a voltage sag in the source voltage due to three
phase fault has been compensated by the photo voltaic (PV) voltage through voltage
source inverter (VSI) with a DVR control scheme. The pre-sag open loop feed forward
control scheme has been used for this purpose.

Currently, several studies and researches are focusing on improving the efficiency and performance of PV inverters connected to the network, all these studies based on the minimization of losses by reducing equipment, the development of... more

Currently, several studies and researches are
focusing on improving the efficiency and performance of PV
inverters connected to the network, all these studies based on
the minimization of losses by reducing equipment, the
development of new components, new designs and topologies,
with reduced costs. In this work, we develop a new principle
called the optimal distribution of power; this concept based on
the creation of a bidirectional DC converter block with
battery (BCB) to ensure high and stable DC voltage at the
entrance of the PV inverter. Based on the simulation results
obtained from Matlab/Simulink, it has found that it is
necessary to control the DC voltage bus of PV inverter.

Solar Power Optimizer (SPO) for DC Distribution System comprises of a high step-up solar power optimizer (SPO) which efficiently harvests maximum energy from a photovoltaic (PV) panel, energy is output to a dc-micro grid. It integrates... more

Solar Power Optimizer (SPO) for DC Distribution System comprises of a high step-up solar power optimizer (SPO) which efficiently harvests maximum energy from a photovoltaic (PV) panel, energy is output to a dc-micro grid. It integrates coupled inductor and switched capacitor technologies to realize high step-up voltage gain. The leakage inductance energy of the coupled inductor can be recycled to reduce power losses and voltage stress. A low low-conduction resistance and voltage rating switch improves system efficiency by employing the fuzzy logic method for the (MPPT) maximum power point tracking algorithm. It has high tracking accuracy, hence the method is widely used to harvest energy of PV systems. The reduction in power caused by the existing shadow effect on PV panels is an unavoidable problem in a centralized PV system. The use of a micro inverter or ac module has recently been proposed for individual PV panels.

This paper presents a position tracking controlstrategy that meets the position tracking performance. A practical controller is proposed known as a NominalCharacteristicTrajectoryFollowing (NCTF) to control the position of the cart. The... more

This paper presents a position tracking controlstrategy that meets the position tracking performance. A practical controller is proposed known as a NominalCharacteristicTrajectoryFollowing (NCTF) to control the position of the cart. The effectiveness of the proposed NCTFcontroller is evaluated and compared with Proportional-Velocity (PV) controller through simulation.Keywords:NCTF, PV, position control, linear motion servo system.

This paper presents a photovoltaic (PV) based battery charger utilizing a wireless power transfer (WPT) interface system. The double-sided inductorcapacitor-capacitor (LCC) compensation network is utilized for the inductive power transfer... more

This paper presents a photovoltaic (PV) based battery charger utilizing a wireless power transfer (WPT) interface system. The double-sided inductorcapacitor-capacitor (LCC) compensation network is utilized for the inductive power transfer (IPT) system. Because of nonlinear characteristics of the PV, the maximum power point tracking (MPPT) is achieved by controlling the phase displacement angle or the pulse width of the quasi-square pulse inverter connected to the transmitting coil of the IPT system. As a result, the power transferred to the secondary-side, which is connected to a battery bank, is regulated. The IPT-based PV interface system is designed to achieve zero voltage switching (ZVS) in the primary side at rated conditions to minimize the switching loss. Extensive simulation studies are carried out using EMTDC/PSCAD software to investigate the dynamic performance of the proposed IPT-based PV interface system.

Currently, several studies and researches are focusing on improving the efficiency and performance of PV inverters connected to the network, all these studies based on the minimization of losses by reducing equipment, the development of... more

Currently, several studies and researches are focusing on improving the efficiency and performance of PV inverters connected to the network, all these studies based on the minimization of losses by reducing equipment, the development of new components, new designs and topologies, with reduced costs. In this work, we develop a new principle called the optimal distribution of power; this concept based on the creation of a bidirectional DC converter block with battery (BCB) to ensure high and stable DC voltage at the entrance of the PV inverter. Based on the simulation results obtained from Matlab/Simulink, it has found that it is necessary to control the DC voltage bus of PV inverter.

This study evaluates the frameless modules of same type (model B) in two 16-year old photovoltaic power (PV) systems to ascertain degradation rates, reliability failure modes and safety failure modes which occur in a hot-dry climate. Each... more

This study evaluates the frameless modules of same type (model B) in two 16-year old photovoltaic power (PV) systems to ascertain degradation rates, reliability failure modes and safety failure modes which occur in a hot-dry climate. Each system is composed of 1512 modules. The average degradation rate is determined to be 0.85%/year for the best modules and 1.1%/year for all the modules (excluding the safety failed modules). Primary safety failure mode is the backsheet delamination though it is small (less than 1.7%). Primary degradation mode and reliability failure mode may potentially be attributed to encapsulant browning leading to transmittance/current loss and thermo-mechanical solder bond fatigue (cell-ribbon and ribbon-ribbon) leading to series resistance increase. Under the typical 20/20 warranty terms, 0.5-1.7% of the modules qualify for the safety returns, 73-76% of the modules qualify for the warranty claims and 24-26% of the modules are meeting the warranty terms.

The SEPIC is a DC-DC voltage converter which is used to converts unregulated DC voltage to a regulated DC voltage. It gives non inverted output for which it differs from other converters. The SEPIC can be used as buck and boost by varying... more

The SEPIC is a DC-DC voltage converter which is used to converts unregulated DC voltage to a regulated DC voltage. It gives non inverted output for which it differs from other converters. The SEPIC can be used as buck and boost by varying its duty cycle according to the user's requirements. In this era of efficient use of energy and cost cutting, solar energy comes into prominence. Conversion of this freely available energy into useable form will reduce the burden on other resources; while at the same time expand our energy reserve. There has been an increase in demand for clean and sustainable energy sources, and solar energy is currently considered to be one of the most valuable and abundant yet low-maintenance clean sustainable energy source. Photovoltaic solar energy systems require DC-DC converter in order to regulate and control the varying output of the solar panel. The single ended Primary inductance Converter topology performs the operation of a buck-boost converter but with no voltage polarity reversal. The SEPIC plays the role of DC-DC converter and is used as an interface between the cell and the load. In this paper the PV system is used as a DC voltage source to SEPIC Converter and a battery is used in series with the load for charging purpose. To extract maximum power; the MPPT technique is used here. The whole circuit is simulated using MATLAB SIMULINK.

This paper presents the performance of Brushless DC (BLDC) Motor drive with only one positioning sensor instead of three conventional sensors. The three sensor units are replaced with a single stator current sensor unit in DC bus which... more

This paper presents the performance of Brushless DC (BLDC) Motor drive with only one positioning sensor instead of three conventional sensors. The three sensor units are replaced with a single stator current sensor unit in DC bus which further reduces the cost increasing the reliability of the drive system. Using a single sensor in stator requires minimum electronic equipment for the purpose of measurement process. This paper evolves the BLDC motor drive fed from PV system. A high voltage-gain DC-DC converter is presented in this paper to step-up the voltage from PV system. The appropriateness of PV fed BLDC motor drive is verified for variable increamental speed with fixed torque and variable decremental speed with fixed torque operating conditions. BLDC motor drive performance is also performed for variable torque with fixed speed working condition. The proposed system and results are developed using MATLAB/SIMULINK software.

In a photovoltaic system, tracking the maximum power point (MPP) is a difficult task due to changes in climatic conditions. In addition, due to several peaks in the power supply voltage characteristics, the tracking algorithm becomes more... more

In a photovoltaic system, tracking the maximum power point (MPP) is a difficult task due to changes in climatic conditions. In addition, due to several peaks in the power supply voltage characteristics, the tracking algorithm becomes more complicated under partial shadow conditions. This paper introduces a new method for tracking the global maximum power point under partial shadow conditions. This method combines the maximum power point tracking The method combines an artificial neural network controller. This paper discusses one of the most important algorithms to extract maximum power from the PV panel implemented with DC-to-DC converters and based Artificial Neural Networks based Maximum power point tracking used to provide maximum power from the photovoltaic module to the load. Therefore, this new ANN method shows the main ability to extract the maximum power. A new MPPT search method for the maximum power point based on artificial neural networks has been used in this work. Solar radiation changes sharply. It is possible to determine precisely the extract power of MPP, which can decide that the system will operate in a stable mode. An artificial neural network can predict solar radiation level and battery temperature according to different operating conditions under changing environmental conditions to optimize energy production and optimize solar power tracking from solar cell systems. Therefore, this new ANN method demonstrates its most important ability to extract maximum power from the solar panel MPPT algorithms are typically used in photovoltaic systems to optimize solar power. When solar radiation changes sharply, MPP benefits as higher fault tolerance and a simpler implementation, making the system work in stable conditions. The simulation of this proposed model has performed on MATLAB software, and 85%. accuracy obtained in this proposed system.

This paper presented the study, development and implementation of the maximum power point of a photovoltaic energy generator adapted by elevator converter and controlled by a maximum power point command. In order to improve photovoltaic... more

This paper presented the study, development and implementation of the maximum power point of a photovoltaic energy generator adapted by elevator converter and controlled by a maximum power point command. In order to improve photovoltaic system performance and to force the photovoltaic generator to operate at its maximum power point, the idea of the context of this paper deals with the exploitation of the technique of the artificial intelligence mechanism (neural network) certainly based on the three parts of the photovoltaic system (photovoltaic module inputs (temperature and solar radiation), photovoltaic module and control (MPPT)) that have been adopted within a simulation time of 24 hours.In addition, to reach the optimal operating point regardless of variations in climatic conditions, the use of a neuron network based disturbance and observation algorithm (P&O) is put into service of the system given its reliability, its simplicity and view that at any time it can follow the d...

The first problem in our third millennium is energy. For this raison, we try to find a new solution to develop different ways of distribution and energy use. This article presents the design of a sliding mode controller using sliding mode... more

The first problem in our third millennium is energy. For this raison, we try to find a new solution to develop different ways of distribution and energy use. This article presents the design of a sliding mode controller using sliding mode observation technique which aims to simplify the control procedure. For ameliorating the quality of the energy transferred from the power supply to the load, and minimizing the harmful effects of the harmonics generated by nonlinear load. The virtual grid flux vector estimated in the sliding-mode observer yields robustness against the line voltage distortions. We propose a new multi-function converter as an efficient solution to improve the power quality. The good dynamic and static performance under the proposed control strategy is verified by simulation and experiment. KeywordsHarmonics, Three phase APF, PWM rectifier, DPC, virtual line flux linkage observer, MVBPF, PV, sliding mode(SM), SMO (Sliding Mode Observer).

This paper presented the study, development and implementation of the maximum power point of a photovoltaic energy generator adapted by elevator converter and controlled by a maximum power point command. In order to... more

This paper presented the study, development and implementation of the maximum power point of a photovoltaic energy generator adapted by elevator converter and controlled by a maximum power point command. In order to improve photovoltaic system performance and to force the photovoltaic generator to operate at its maximum power point, the idea of the context of this paper deals with the exploitation of the technique of the artificial intelligence mechanism (neural network) certainly based on the three parts of the photovoltaic system (photovoltaic module inputs (temperature and solar radiation), photovoltaic module and control (MPPT)) that have been adopted within a simulation time of 24 hours. In addition, to reach the optimal operating point regardless of variations in climatic conditions, the use of a neuron network based disturbance and observation algorithm (P & O) is put into service of the system given its reliability, its simplicity and view that at any time it can follow the desired maximum power. The entire system is implemented in the Matlab/Simulink environment where simulation results obtained are very promising and have shown the effectiveness and speed of neural technology that still require a learning base so to improve the performance of photovoltaic systems and exploit them in energy production, as well as this technique has proved that these results are much better in terms (of its very great precision and speed of computation) than those of the controller based on the conventional MPPT method P & O.

This paper deals with the Wireless Sensor Network comportment in the south west region precisely Bechar city. Algeria has the highest technical and economic potentials for solar power exploitation in the Middle East and North Africa... more

This paper deals with the Wireless Sensor Network comportment in the south west region precisely Bechar city. Algeria has the highest technical and economic potentials for solar power exploitation in the Middle East and North Africa region. In this paper, the focus is on the behaviour of Wireless Sensor Network (WSNs) supplied by solar panel PV connected to node via boost converter (DC/DC) controlled by maximum power point tracking (MPPT) technique, using the incremental conductance (IC) algorithm to extract maximum power. In Our present work, many tests were carried out. The WSNs are examined under sever and different temperature and irradiation variation. The obtained result is satisfactory for our (WSNs) simulated in a MATLAB/SIMULINK environment. The performances of the proposed strategy controller give a satisfactory simulation results.

This paper deals with the control of hybrid PV-WIND power conversion structure. This paper develops a very important contribution which is the use of a single DC to DC converter, linearization of control of the Three-Level Boost Converter... more

This paper deals with the control of hybrid PV-WIND power conversion structure. This paper develops a very important contribution which is the use of a single DC to DC converter, linearization of control of the Three-Level Boost Converter (TLBC) considering the imperfections of the passive components. The TLBC control provides balancing of capacitor voltages and maximum power operation of PV generator. For reasons of simplicity, a linearization based on the dynamic compensation of the disturbance is proposed. A sensorless Maximum Power Point Tracking (MPPT) algorithm is used to maximize a power extracted of the wind generator. The proportional relation between the rotational speed and the output voltage of the rectifier allows to use a voltage sensor to estimate the DC bus voltage reference instead of a mechanical speed sensor. The control of the threephase inverter allows a transfer of the active power, the power factor close to the unit and thus a limitation of the reactive power injected into the grid. The external control loop performs the regulation of the common DC bus voltage while the internal control loop regulates the dq components of the currents injected into the grid. The simulation results showed the validity of the control approach. The proposed power conversion structure based on a single static converter has shown very good performance in terms of efficiency, the quality of the energy produced, complementarity between the two renewable
sources and reliability. The paper ends with conclusions.

Dual input dc-dc converters have two input voltage sources or one input source and an energy storage system like ultra capacitor, PV, battery, super capacitors and a single output load. In order to process the power in hybrid energy... more

Dual input dc-dc converters have two input voltage sources or one input source and an energy storage system like ultra capacitor, PV, battery, super capacitors and a single output load. In order to process the power in hybrid energy systems using reduced part count, researchers have proposed several multi-input dc-dc power converter topologies to transfer power from different input voltage sources to the output. This paper compares non-isolated dual-input converter topologies topologically ,based on the components count, various fields of application and different modes of operation for hybrid systems mainly used in electric vehicles and renewable energy systems composed of energy storage systems (ESSs) with different voltage-current characteristics. Dual input dc-dc converter topologies considered in this paper are investigated using MATLAB and PSIM software and output voltage and inductor current waveforms are shown.

In this paper, a comparison is carried out between MPPT technique using a hybrid cascaded Fuzzy-PI Controller and Perturb and Observe (P&O) MPPT technique. The two techniques are compared in a system which consists of a photovoltaic... more

In this paper, a comparison is carried out between MPPT technique using a hybrid cascaded Fuzzy-PI Controller and Perturb and Observe (P&O) MPPT technique. The two techniques are compared in a system which consists of a photovoltaic system connected to a grid via a two-level three-phase inverter. The P&O and Fuzzy-PI techniques are examined under different weather conditions, namely, ramp change in irradiation level and ramp change in temperature levels. Disturbances represented by fluctuations in power demand from the utility grid is generated to assess the robustness of each of the two controllers. The Fuzzy-PI based MPPT, has proved its excellent tracking and robustness against abrupt perturbations. Simulations of the system performances using the two regulators are performed to validate the conceptual standings.

In a photovoltaic system, tracking the maximum power point (MPP) is a dif icult task due to changes in climatic conditions. In addition, due to several peaks in the power supply voltage characteristics, the tracking algorithm becomes more... more

In a photovoltaic system, tracking the maximum power point (MPP) is a dif icult task due to changes in climatic conditions. In addition, due to several peaks in the power supply voltage characteristics, the tracking algorithm becomes more complicated under partial shadow conditions. This paper introduces a new method for tracking the global maximum power point under partial shadow conditions. This method combines the maximum power point tracking The method combines an artificial neural network controller. This paper discusses one of the most important algorithms to extract maximum power from the PV panel implemented with DC-to-DC converters and based Artificial Neural Networks based Maximum power point tracking used to provide maximum power from the photovoltaic module to the load. Therefore, this new ANN method shows the main ability to extract the maximum power. A new MPPT search method for the maximum power point based on artificial neural networks has been used in this work. Solar radiation changes sharply. It is possible to determine precisely the extract power of MPP, which can decide that the system will operate in a stable mode. An artificial neural network can predict solar radiation level and battery temperature according to dif erent operating conditions under changing environmental conditions to optimize energy production and optimize solar power tracking from solar cell systems. Therefore, this new ANN method demonstrates its most important ability to extract maximum power from the solar panel MPPT algorithms are typically used in photovoltaic systems to optimize solar power. When solar radiation changes sharply, MPP benefits as higher fault tolerance and a simpler implementation, making the system work in stable conditions. The simulation of this proposed model has performed on MATLAB software, and 85%. accuracy obtained in this proposed system

This paper focuses on a Matlab/SIMULINK model of a photovoltaic cell. This model is based on mathematical equations and is described through an equivalent circuit including a photocurrent source, a diode, a series resistor and a shunt... more

This paper focuses on a Matlab/SIMULINK model of a photovoltaic cell. This model is based on mathematical equations and is described through an equivalent circuit including a photocurrent source, a diode, a series resistor and a shunt resistor. The developed model allows the prediction of PV cell behaviour under different physical and environmental parameters. The model can also be used to extract the physical parameters for a given solar PV cell as a function of temperature and solar radiation. In addition, this study outlines the working principle of PV module as well as PV array. In order to validate the developed model, an experimental test bench was built and the obtained results exhibited a good agreement with the simulation ones.

Nowadays, there is a great impulse in the field of photovoltaic cell systems (PV) to develop new devices with better energy conversion performances and higher cost effectiveness. This paper is focused on the design and development of a... more

Nowadays, there is a great impulse in the field of photovoltaic cell systems (PV) to develop new devices with better energy conversion performances and higher cost effectiveness. This paper is focused on the design and development of a modified PV system, consisting of a normal PV panel coupled with a Phase Change Material (PCM). PCMs are "latent" energy storage materials,

This paper presents a comprehensive analysis of power quality for static synchronous compensator on the distribution power system (DSTATCOM) when different types of energy sources are used to supply the DC link channel of DSTATCOM. These... more

This paper presents a comprehensive analysis of power quality for static synchronous compensator on the distribution power system (DSTATCOM) when different types of energy sources are used to supply the DC link channel of DSTATCOM. These types of power supplies have a different effect on the compensation of DSTATCOM due to operation nature of these sources. The dynamic response of the DSTATCOM has investigated that produced by individual and hybrid energy sources to evaluate the influence of these sources in terms of time response, compensation process and reduce the harmonics of current source. Three cases have been considered in this study. First the photovoltaic (PV) cells alone, second the battery storage alone, and third a hybrid coordinated design between (PV cells with battery storage) is used. A boost DC-DC circuit has connected to a photovoltaic cell with maximum power point tracking (MPPT) while DC-DC buck-boost circuit is used with a battery. High coordination between PV and battery circuits in the hybrid system is used to improve the performance. A synchronous reference frame (SRF) with a unit vector has used to control the DSTATCOM. The simulation results show that the hybrid design has a superiority response compared to the individual sources.