Power

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End date: 2024Subject: search.filters.subject.Photovoltaic

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    Machine Learning Based Models for Photovoltaic Energy Forecasting.
    (Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) SEBBANE, Mohamed Lamine; BAALI, Bassem; CHERIFI, Dalila (supervisor)
    Photovoltaic (PV) technology is one of the most promising forms of renewable energy, with its integration into the power grid increasing daily due to its economic and environmental ad-vantages. However, power generation from PV technologies is highly dependent on weather conditions, which are neither constant nor controllable. Therefore, accurate forecasting of PV power is essential for maintaining stability and reliable operation within the electrical power system. The goal of this project is to analyze and compare various machine learning-based forecast-ing methods based on their characteristics and performance. We utilized large datasets of measured PV power and meteorological parameters, such as solar radiation, temperature, and wind speed, which influenc eenerg ygeneration .Specifically, we proposed a machine learning-based model to forecast regional PV power for application in the Algerian energy market. Experimental results have shown that the Artificia lNeura lNetwork s(ANN )mode lexcels in capturing intricate linear and non-linear interactions of the input features, making it the most effective in forecasting solar generation.
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    Desing and implementation of a test bench for PV panels
    (2023) Naili, Warda; Kadri, Selma; Bentarzi, Hamid (Supervisor); Touabi, Celina
    Though intermittent, solar energy is a clean and eternal source of energy. PV (Photo- voltaic) cell is one of the technology to harness the solar energy and use it as electricity. In recent years rising cost of electricity and environmental concerns have made the solar PV tech- nology a rising research field . In this research field the efficiency improvement is the focal point for the researchers. Because of intermittent weather conditions the output power of the solar cell varies directly to the irradiance level and inversely to the cell temperature and cell never operates at its maximum power. This report focuses on the design and implementation of a test bench for photovoltaic (PV) panels, aiming to provide a real interface between the user and the panel to facilitate testing under specific irradiance and temperature conditions . The project comprises two circuits: one for controlling irradiance using an AC dimming circuit with six halogen lamps, allowing the user to adjust the light intensity through LabVIEW. The circuit also incorporates a light sensor that measures lux values, which are then converted to irradiance. The second circuit involves temperature control, achieved by employing a DC fan. Both circuits are controlled using an Arduino Uno board, while LabVIEW software is utilized for data visualization and user interface control. The developed test bench provides a comprehensive and user-friendly platform for accurate and controlled testing of PV panels under desired irradiance and
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    Design and simulation of utility grid connected PV system with battery storage
    (2023) Khelloufi, Mohamed Ali; Djerroud, Mohamed Amine; Belmadani, H.; Chalah, S. (Supervisor)
    Currently, extensive research is being conducted to reduce CO2 emissions stemming from fossil fuel resources. One promising solution is the utilization of renewable energy sources such as photovoltaic and wind power. This project aims to integrate a photovoltaic (PV) array into the utility grid, coupled with a storage element.To achieve this goal, a Matlab/Simulink model is developed and simulated to optimize the PV system’s power output. Subsequently, a suitable power conditioning system is selected to convert the DC output voltage into a 50Hz AC voltage, meeting the required distribution levels for interfacing with the utility. The control system for this power conditioning setup is also carefully chosen. It is crucial that the designed topology maintains a high power factor.In conclusion, the obtained results are thoroughly discussed and interpreted to assess the effectiveness of the integrated PV array and storage system within the utility grid.
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    Grid connected solar water-pumping system based on sensorless PMSM drive
    (2022) Teniba, Abdelmoumin; Nouicer, Sohaib; Ammar, Abdelkarim (Supervisor)
    This thesis deals with an effective power transfer scheme between the solar photovoltaic (PV) array and single or three-phase grid, feeding permanent-magnet synchronous motor (PMSM) drive applied to a water-pumping system (WPS). This system enables a consumer to operate the water pump at its full capacity for 24 hours regardless of the climatic condition and to feed a single or three-phase utility grid when water pumping is not required. The full utilization of a PV array and motor pump is made possible, in addition to enhancing the reliability of the pumping system. A voltage source converter (VSC) with a unit vector template generation technique accomplishes a bidirectional power flow control between the grid and the dc bus of the voltage source inverter (VSI), which feeds a (PMSM) motor. A sensorless MRAS-based estimator with field-oriented control (FOC) is used to drive the PMSM coupled to the water pump. Under variable isolation, an intermediate stage boost converter is used for extracting optimum power from a solar PV array. The duty ratio for the maximum power point (MPP) operation is generated using Perturb and Observe (P&O) technique. The utility single-phase grid in conjunction with a PV array fed PMSM coupled water pump ensures bidirectional power flow control based on the unit vector template (UVT) technique, however, in three-phase utility grid a voltage-oriented control (VOC) is used to manage the power flow in the system. The Fast Fourier Transform (FFT) analysis is done on the grid current to check that the criteria imposed by the IEEE-519 standard are met, and total harmonic distortion is within the allowed range.
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    Photovoltaic cell I-V characteristics: simulation versus measurement
    (2021) Touabi, Cilina; Bentarzi, Hamid (Supervisor)
    Among all renewable energy sources, solar energy has acquired the highest growth rate worldwide in the last years. The major application of solar energy is photovoltaic (PV) power generation. For an accurate study in different PV applications, it is very important to model the basic device of the PV cell. However, the model parameters are usually unavailable in the datasheet provided by the manufacturers and their values change over time due to the PV degradation. Thus, how to estimate appropriate parameters is of high importance. This work presents two methods for identifying the optimal parameters of a PV generating unit. In both methods the PV generator is simulated using the one diode model. The first method is based on grey wolf algorithm where the parameters of the model are identified using only datasheets provided my manufacturers, this algorithm is included in a SIMULINK simulation for constructing the I-V and P-V characteristics. The second method is based on an opposition- based particle swarm optimization algorithm where the objective function is derived from the experimental current-voltage data. These approaches are found to be useful for designers since they are simple, fast and provide accurate results. The analysis is performed on various PV modules under different environmental conditions. The final results are compared and discussed to demonstrate the efficiency and accuracy of the proposed work.
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    PV solar system design and installation for agriculture application: a case study of a poultry farm in douar frikat Ain Oulmene Setif, Algeria
    (2020) Djoudi, Abdelfatah; Ammar, Abdelkarim (Supervisor)
    This project presents different technical approaches for energy conservation in the egg production farms. The main approach was first to evaluate the quantitative energy requirements through held interviews, then using Simulink and DIALux, series of simulations and calculations were conducted in order to seek for the most efficient light bulb and how many of them to be installed. Furthermore, an application named the Light Cost Calculator using MATLAB app-designer were developed to estimate the amount of saved money in case of using the suggested light bulb over the actual installed ones. It was found that installing thirty-five 5 watts, 470 lumens classic LED bulbs is much more efficient and super economical compared to the actual 40 watts incandescent bulbs. Afterwards, the intension was to seek for more energy conservation options, so knowing that the cooling and ventilation system represents 25 percent from the overall energy usage, an application called the Fan Selector using app-designer were developed to seek for more efficient electric fans. The possibility of using BLDC fans were also investigated. The obtained feedback from the Fan Selector application pointed out that using four BLDC fans is at least twice efficient than using normal AC fans in a farm of 10000 hens with 1.5Kg each, in average. The application also revealed that a considerable amount of money will be saved when using these BLDC fans. The last phase was the integration of photovoltaic solar system in the egg production farm. The proposed system is a standalone 12 kW peak system. It is equipped with battery banks of 1500 Ah, eight strings of six modules connected in series in conjunction with two three phase string inverters. This thesis aims to combine all the previous strategies staring from replacing the traditional incandescent bulbs, seeking for the most electric fans and eventually investing in solar energy to minimize the electricity usage and therefore maximize the profits.
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    Improving the efficientcy of photovoltaic power systems
    (2016) Bouznada, Khaled; Obeidi, Baha Eddine; Boutora, S.
    With the increase of the world’s population day by day, the demand of energy is increasing accordingly. Although oil and gas are the main energy resource in the world currently, experts say that this wouldn’t be the case in the next decades. The focus on renewable energies has increased and it gained the attention of nations around the globe. Solar energy and exactly photovoltaic (PV) systems are considered as one of the main energy resources especially in warm countries. One challenge is to have systems that operate with high efficiency. Our thesis reviews different methods to increase their efficiency. The main methods, which are, solar tracking, maximum power point tracking and cell cooling; are detailed and simulated using simulation dedicated software. Results show the significant improvement in PV systems efficiency when applying these methods.