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Purpose. In last decade the problem of energy management system (EMS) for electric network has received special attention from academic researchers and electricity companies. In this paper, a new algorithm for EMS of a photovoltaic (PV) grid connected system, combined to an storage system is proposed for reducing the character of intermittence of PVs power which infect the stability of electric grid. In simulation model, the PV system and the energy storage system are connected to the same DC bus, whereas EMS controls the power flow from the PV generator to the grid based on the predetermined level of PV power. In the case where the PV power is less than the predefined threshold, energy is stored in the batteries banc which will be employed in the peak energy demand (PED) times. Otherwise, it continues to feed the principal grid. The novelty of the proposed work lies in a new algorithm (smart algorithm) able to determine the most suitable (optimal) hours to switching between battery, Solar PVs, and principal grid based on historical consumption data and also determine the optimal amount of storage energy that be injected during the peak demand. Methods. The solution of the problem was implemented in the Matlab R2010a Platform and the simulation conducted on Laptop with a 2.5 GHz processor and 4 GB RAM. Results. Simulation results show that the proposed model schedules the time ON/OFF of the switch in the most optimal way, resulting in absolute control of power electric path, i.e. precise adaptation at the peak without compromising consumers comfort. In addition, other useful results can be directly obtained from the developed scheme. Thus, the results confirm the superiority of the proposed strategy compared to other improved techniques.
F. Slama; H. Radjeai; S. Mouassa; A. Chouder. New algorithm for energy dispatch scheduling of grid-connected solar photovoltaic system with battery storage system. Electrical Engineering & Electromechanics 2021, 27 -34.
AMA StyleF. Slama, H. Radjeai, S. Mouassa, A. Chouder. New algorithm for energy dispatch scheduling of grid-connected solar photovoltaic system with battery storage system. Electrical Engineering & Electromechanics. 2021; (1):27-34.
Chicago/Turabian StyleF. Slama; H. Radjeai; S. Mouassa; A. Chouder. 2021. "New algorithm for energy dispatch scheduling of grid-connected solar photovoltaic system with battery storage system." Electrical Engineering & Electromechanics , no. 1: 27-34.
This paper reports on the electrical performance of two bloc-of-flats buildings located in Prague, Czech Republic. Measured data of electrical consumption were used to investigate the effect of photovoltaic (PV) and battery energy storage system (BESS) systems on the overlap between generation and demand. Different PV array configurations and battery storage capacities were considered. Detailed solar analysis was carried out to analyze the solar potential of the building and to assess the PV electricity production. The evaluation of the building performance was done through MATLAB simulations based on one-year monitored data. The simulation results were used for the calculation of the load matching indices: namely, the self-consumption and self-sufficiency. It was found that optimized array tilt and orientation angles can effectively contribute to a better adjustment between electricity demand and solar PV generation. The addition of a façade PV system increases significantly the PV generation and thus the load matching during winter months. Mismatch is further reduced by using the energy flexibility provided by the BESS. Depending on the PV size and BESS capacity, the self-consumption and the self-sufficiency of the building could increase from 55% to 100% and from 24% up to 68%, respectively.
Sofiane Kichou; Nikolaos Skandalos; Petr Wolf. Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data. Energies 2020, 13, 2727 .
AMA StyleSofiane Kichou, Nikolaos Skandalos, Petr Wolf. Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data. Energies. 2020; 13 (11):2727.
Chicago/Turabian StyleSofiane Kichou; Nikolaos Skandalos; Petr Wolf. 2020. "Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data." Energies 13, no. 11: 2727.
Good design and sizing of photovoltaic (PV) systems is very important in order to effectively harvest energy and minimize the investment cost. The optimum tilt and azimuth angles at which a PV system should be installed are often debated. This paper evaluates the trade-off between annual energy generation and payback period reduction through the analysis of a small house with pitched roof integrated PVs in both East and West sides. Validated irradiance and PV models were used for the analysis. The optimum tilt and azimuth angles are found to be 35° and 10° respectively. Finally, a contour map plot illustrating all possible tilt and orientation angles, corresponding to a payback period less than 20 years, is provided. The results are valid for different building typologies and locations with similar climate conditions as Prague.
Sofiane Kichou; Nikolaos Skandalos; Petr Wolf. Optimization method for photovoltaic integration in residential houses. Journal of Physics: Conference Series 2019, 1343, 012093 .
AMA StyleSofiane Kichou, Nikolaos Skandalos, Petr Wolf. Optimization method for photovoltaic integration in residential houses. Journal of Physics: Conference Series. 2019; 1343 (1):012093.
Chicago/Turabian StyleSofiane Kichou; Nikolaos Skandalos; Petr Wolf. 2019. "Optimization method for photovoltaic integration in residential houses." Journal of Physics: Conference Series 1343, no. 1: 012093.
Sofiane Kichou; Nikolaos Skandalos; Petr Wolf. Energy performance enhancement of a research centre based on solar potential analysis and energy management. Energy 2019, 183, 1195 -1210.
AMA StyleSofiane Kichou, Nikolaos Skandalos, Petr Wolf. Energy performance enhancement of a research centre based on solar potential analysis and energy management. Energy. 2019; 183 ():1195-1210.
Chicago/Turabian StyleSofiane Kichou; Nikolaos Skandalos; Petr Wolf. 2019. "Energy performance enhancement of a research centre based on solar potential analysis and energy management." Energy 183, no. : 1195-1210.
Photovoltaic (PV) installation with energy control and energy storage systems (ESS) are becoming more popular to be used inside buildings. They can assure stable energy supply as well as energy savings. A proper system design is necessary to ensure optimal energy supply and cost savings. The present work describes current energy demands and sources of Johann Gregor Mendel Station operated by Masaryk University in Brno and suggests a new generation sources based on PV. The energy for the station is being provided by oil generators, PV system and wind turbines. Since the beginning of 2018 a new system for measuring detailed energy demand, irradiation and wind speed has been installed in that location. Thus, based on the in-site collected data, possible system sizes are suggested in order to make the station fully operating by means of renewable energy sources.
S Kichou; P Wolf; P Kapler. Renewable Energy Supply for Remote Station Located in Antarctica – Simulations Based on Real Measured Data. IOP Conference Series: Earth and Environmental Science 2019, 290, 012098 .
AMA StyleS Kichou, P Wolf, P Kapler. Renewable Energy Supply for Remote Station Located in Antarctica – Simulations Based on Real Measured Data. IOP Conference Series: Earth and Environmental Science. 2019; 290 (1):012098.
Chicago/Turabian StyleS Kichou; P Wolf; P Kapler. 2019. "Renewable Energy Supply for Remote Station Located in Antarctica – Simulations Based on Real Measured Data." IOP Conference Series: Earth and Environmental Science 290, no. 1: 012098.
The paper describes proposed techniques used for simple simulation of a hybrid energy system in a building. An interactive software tool is presented that can be downloaded and used for any purpose free of charge. Based on selected household electrical equipment, solar irradiance, PV system design and ESS parameters an annual simulation is made based on hourly time resolution. The outputs presented in charts as well as tables show the distribution of energy sources (grid, PV), the effect of ESS operation, self-sufficiency of PV system and its utilization of PV throughout the year. The simulation is real-time based so the system design can be easily manually optimized to achieve specific goals (e.g. specified self-sufficiency at minimal costs). As the simulation if based on Excel sheets, it can be easily accustomed by users with specific requirements.
P Wolf; S Kichou. Simple Free Use Simulation Software for Buildings with Photovoltaic System and Battery. IOP Conference Series: Earth and Environmental Science 2019, 290, 012089 .
AMA StyleP Wolf, S Kichou. Simple Free Use Simulation Software for Buildings with Photovoltaic System and Battery. IOP Conference Series: Earth and Environmental Science. 2019; 290 (1):012089.
Chicago/Turabian StyleP Wolf; S Kichou. 2019. "Simple Free Use Simulation Software for Buildings with Photovoltaic System and Battery." IOP Conference Series: Earth and Environmental Science 290, no. 1: 012089.
For the proper operation of a microgrid, an accurate estimation of the grid parameters such as phase angle, operating frequency and amplitude under various disturbances is of prime interest. In this paper, an enhanced second-order generalized integrator-based frequency-locked loop (ESOGI-FLL) intended for DC-offset rejection in both grid-connected and islanded operation of a single-phase voltage source inverter (VSI) is presented. The main contribution in this work is the ability of the proposed scheme to remove the overall uninspected distortion in the orthogonal component and oscillations that affect the estimated frequency and phase caused mainly by the inherent DC-offset in the input voltage. Unlike the most popular PLLs dealing with DC-offset rejection, the proposed scheme has a great advantage in term of structure complexity and computational time. Numerical simulations as well as practical assessments are carried out to highlight the effectiveness and robustness of the proposed scheme in term of parameters estimation of highly shifted input voltage. In addition, the proposed scheme is tested against corrupted input voltage such as frequency change, phase jump and voltage sags. The paper also reports a detailed comparative study with conventional SOGI-FLL and third-order generalized integrator based FLL. The obtained results have shown best performances of the proposed ESOGI-FLL in term of DC-offset rejection in the orthogonal component, ripples elimination in the estimated frequency and less computational time.
Abdelhammid Kherbachi; Aissa Chouder; Ahmed Bendib; Kamel Kara; Said Barkat. Enhanced structure of second-order generalized integrator frequency-locked loop suitable for DC-offset rejection in single-phase systems. Electric Power Systems Research 2019, 170, 348 -357.
AMA StyleAbdelhammid Kherbachi, Aissa Chouder, Ahmed Bendib, Kamel Kara, Said Barkat. Enhanced structure of second-order generalized integrator frequency-locked loop suitable for DC-offset rejection in single-phase systems. Electric Power Systems Research. 2019; 170 ():348-357.
Chicago/Turabian StyleAbdelhammid Kherbachi; Aissa Chouder; Ahmed Bendib; Kamel Kara; Said Barkat. 2019. "Enhanced structure of second-order generalized integrator frequency-locked loop suitable for DC-offset rejection in single-phase systems." Electric Power Systems Research 170, no. : 348-357.
Photovoltaic (PV) modules are the main element responsible for the harvesting of solar radiation in PV systems. Thus, their reliability and durability are two crucial factors to take in consideration for conceiving performant PV systems and improve the energy generation. The outdoor comportment analysis of different PV module technologies has gained an increased interest in last years in order to gain insight on the degradation of their performance. The present work studies the behaviour of three different PV modules based on cadmium telluride (CdTe), monocrystalline (c-Si) and multicrystalline silicon (mc-Si) technologies deployed outdoor in a humid continental climate. The period under scrutiny ranges from August 2015 to September 2017. Moreover, a new approach based on artificial neural network (ANN) was developed for the prediction of missing weather data. The obtained results showed that c-Si and mc-Si PV modules presented a slight performance degradation following the seasonal changes. The worst degradation rate of −5.55%/year was obtained for CdTe PV modules. Finally, the effects of the degradation on the I-V curve were proven by an indoor characterization of CdTe PV modules.
Sofiane Kichou; Petr Wolf; Santiago Silvestre; Aissa Chouder. Analysis of the behaviour of cadmium telluride and crystalline silicon photovoltaic modules deployed outdoor under humid continental climate conditions. Solar Energy 2018, 171, 681 -691.
AMA StyleSofiane Kichou, Petr Wolf, Santiago Silvestre, Aissa Chouder. Analysis of the behaviour of cadmium telluride and crystalline silicon photovoltaic modules deployed outdoor under humid continental climate conditions. Solar Energy. 2018; 171 ():681-691.
Chicago/Turabian StyleSofiane Kichou; Petr Wolf; Santiago Silvestre; Aissa Chouder. 2018. "Analysis of the behaviour of cadmium telluride and crystalline silicon photovoltaic modules deployed outdoor under humid continental climate conditions." Solar Energy 171, no. : 681-691.
In this paper, a novel procedure for fault detection and diagnosis in the direct current (DC) side of PV system, based on probabilistic neural network (PNN) classifier, is proposed. The suggested procedure consists of four main stages: (i) PV module parameters extraction, (ii) PV array simulation and experimental validation (iii) elaboration of a relevant database of both healthy and faulty operations, and (iv) network construction, training and testing. In the first stage, the unknown electrical parameters of the one diode model (ODM) are accurately identified using the best-so-far ABC algorithm. Then, based on these parameters the PV array is simulated and experimentally validated by using a PSIM™/Matlab™ co-simulation. Finally, efficient fault detection and diagnosis procedure based on PNN classifier is implemented. Four operating cases were tested in a grid connected PV system of 9.54 kWp: Healthy system, three modules short-circuited in one string, ten modules short-circuited in one string, and a string disconnected from the array. Moreover, the PNN method was compared, under real operating conditions, with the feed forward back-propagation Artificial Neural Network (ANN) classifiers method, for noiseless and noisy data to evaluate the suggested method’s accuracy and test its aptitude to support noisy data. The obtained results have demonstrated the high efficiency of the proposed method to detect and diagnose DC side anomalies for both noiseless and noisy data cases.Peer ReviewedPostprint (author's final draft
Elyes Garoudja; Aissa Chouder; Kamel Kara; Santiago Silvestre. An enhanced machine learning based approach for failures detection and diagnosis of PV systems. Energy Conversion and Management 2017, 151, 496 -513.
AMA StyleElyes Garoudja, Aissa Chouder, Kamel Kara, Santiago Silvestre. An enhanced machine learning based approach for failures detection and diagnosis of PV systems. Energy Conversion and Management. 2017; 151 ():496-513.
Chicago/Turabian StyleElyes Garoudja; Aissa Chouder; Kamel Kara; Santiago Silvestre. 2017. "An enhanced machine learning based approach for failures detection and diagnosis of PV systems." Energy Conversion and Management 151, no. : 496-513.
A wide literature review of recent advance on monitoring, diagnosis, and power forecasting for photovoltaic systems is presented in this paper. Research contributions are classified into the following five macroareas: (i) electrical methods, covering monitoring/diagnosis techniques based on the direct measurement of electrical parameters, carried out, respectively, at array level, single string level, and single panel level with special consideration to data transmission methods; (ii) data analysis based on artificial intelligence; (iii) power forecasting, intended as the ability to evaluate the producible power of solar systems, with emphasis on temporal horizons of specific applications; (iv) thermal analysis, mostly with reference to thermal images captured by means of unmanned aerial vehicles; (v) power converter reliability especially focused on residual lifetime estimation. The literature survey has been limited, with some exceptions, to papers published during the last five years to focus mainly on recent developments.
S. Daliento; A. Chouder; P. Guerriero; A. Massi Pavan; A. Mellit; R. Moeini; Pietro Tricoli. Monitoring, Diagnosis, and Power Forecasting for Photovoltaic Fields: A Review. International Journal of Photoenergy 2017, 2017, 1 -13.
AMA StyleS. Daliento, A. Chouder, P. Guerriero, A. Massi Pavan, A. Mellit, R. Moeini, Pietro Tricoli. Monitoring, Diagnosis, and Power Forecasting for Photovoltaic Fields: A Review. International Journal of Photoenergy. 2017; 2017 ():1-13.
Chicago/Turabian StyleS. Daliento; A. Chouder; P. Guerriero; A. Massi Pavan; A. Mellit; R. Moeini; Pietro Tricoli. 2017. "Monitoring, Diagnosis, and Power Forecasting for Photovoltaic Fields: A Review." International Journal of Photoenergy 2017, no. : 1-13.
The present study analyses the degradation of thin film photovoltaic modules corresponding to four technologies: a-Si:H, a-Si:H/μc-Si:H, CIS and CdTe, under 5 years of outdoor long term exposure in Leganés, Spain. The period of outdoor exposure ranges from January 2011 to December 2015. The degradation rate and the stabilization period are analysed by using two different techniques. Moreover, the evolution of the fill factor and performance ratio is assessed. The CdTe module was found to have the highest degradation rate: −4.45%/year, while the CIS module appears to be the most stable with a degradation rate of −1.04%/year. The a-Si:H and a-Si:H/μc-Si:H modules present stabilization periods of 24 and 6 months respectively. The CdTe module degrades significantly for a period of 32 months, while the CIS module is the least degraded PV specimen over the whole experimental campaign.
Santiago Silvestre; Sofiane Kichou; Letizia Guglielminotti; Gustavo Nofuentes; Miguel Alonso-Abella. Degradation analysis of thin film photovoltaic modules under outdoor long term exposure in Spanish continental climate conditions. Solar Energy 2016, 139, 599 -607.
AMA StyleSantiago Silvestre, Sofiane Kichou, Letizia Guglielminotti, Gustavo Nofuentes, Miguel Alonso-Abella. Degradation analysis of thin film photovoltaic modules under outdoor long term exposure in Spanish continental climate conditions. Solar Energy. 2016; 139 ():599-607.
Chicago/Turabian StyleSantiago Silvestre; Sofiane Kichou; Letizia Guglielminotti; Gustavo Nofuentes; Miguel Alonso-Abella. 2016. "Degradation analysis of thin film photovoltaic modules under outdoor long term exposure in Spanish continental climate conditions." Solar Energy 139, no. : 599-607.
Simulation is of primal importance in the prediction of the produced power and automatic fault detection in PV grid-connected systems (PVGCS). The accuracy of simulation results depends on the models used for main components of the PV system, especially for the PV module. The present paper compares two PV array models, the five-parameter model (5PM) and the Sandia Array Performance Model (SAPM). Five different algorithms are used for estimating the unknown parameters of both PV models in order to see how they affect the accuracy of simulations in reproducing the outdoor behavior of three PVGCS. The arrays of the PVGCS are of three different PV module technologies: Crystalline silicon (c-Si), amorphous silicon (a-Si:H) and micromorph silicon (a-Si:H/µc-Si:H).\ud \ud The accuracy of PV module models based on the five algorithms is evaluated by means of the Route Mean Square Error (RMSE) and the Normalized Mean Absolute Error (NMAE), calculated for different weather conditions (clear sky, semi-cloudy and cloudy days). For both models considered in this study, the best accuracy is obtained from simulations using the estimated values of unknown parameters delivered by the ABC algorithm. Where, the maximum error values of RMSE and NMAE stay below 6.61% and 2.66% respectively.Peer ReviewedPostprint (author's final draft
Sofiane Kichou; Santiago Silvestre; Letizia Guglielminotti; Llanos Mora-López; Emilio Muñoz Cerón. Comparison of two PV array models for the simulation of PV systems using five different algorithms for the parameters identification. Renewable Energy 2016, 99, 270 -279.
AMA StyleSofiane Kichou, Santiago Silvestre, Letizia Guglielminotti, Llanos Mora-López, Emilio Muñoz Cerón. Comparison of two PV array models for the simulation of PV systems using five different algorithms for the parameters identification. Renewable Energy. 2016; 99 ():270-279.
Chicago/Turabian StyleSofiane Kichou; Santiago Silvestre; Letizia Guglielminotti; Llanos Mora-López; Emilio Muñoz Cerón. 2016. "Comparison of two PV array models for the simulation of PV systems using five different algorithms for the parameters identification." Renewable Energy 99, no. : 270-279.
This paper presents a new approach for automatic supervision and remote fault detection of grid connected photovoltaic (PV) systems by means of OPC technology-based monitoring. The use of standard OPC for monitoring enables data acquisition from a set of devices that use different communication protocols as inverters or other electronic devices present in PV systems enabling universal connectivity and interoperability. Using the OPC standard allows promoting interoperation of software objects in distributed-heterogeneous environments and also allows incorporating in the system remote supervision and diagnosis for the evaluation of grid connected PV facilities. The supervision system analyses the monitored data and evaluates the expected behaviour of main parameters of the PV array: Output voltage, current and power. The monitored data and evaluated parameters are used by the fault detection procedure in order to identify possible faults present in the PV system. The methodology presented has been experimentally validated in the supervision of a grid connected PV system located in Spain. Results obtained show that the combination of OPC monitoring along with the supervision and fault detection procedure is a robust tool that can be very useful in the field of remote supervision and diagnosis of grid connected PV systems. The RMSE between real monitored data and results obtained from the modelling of the PV array were below 3.6% for all parameters even in cloudy days.
Santiago Silvestre; Llanos Mora-López; Sofiane Kichou; Francisco Sánchez-Pacheco; Manuel Dominguez-Pumar. Remote supervision and fault detection on OPC monitored PV systems. Solar Energy 2016, 137, 424 -433.
AMA StyleSantiago Silvestre, Llanos Mora-López, Sofiane Kichou, Francisco Sánchez-Pacheco, Manuel Dominguez-Pumar. Remote supervision and fault detection on OPC monitored PV systems. Solar Energy. 2016; 137 ():424-433.
Chicago/Turabian StyleSantiago Silvestre; Llanos Mora-López; Sofiane Kichou; Francisco Sánchez-Pacheco; Manuel Dominguez-Pumar. 2016. "Remote supervision and fault detection on OPC monitored PV systems." Solar Energy 137, no. : 424-433.
The analysis of the degradation of tandem Micromorph thin-film photovoltaic (TFPV) modules and its impact on the output power of a PV array under outdoor long term exposure located in Jaén (Spain) is addressed in this work. Furthermore, the evolution of main solar cell model parameters is evaluated by means of parameters extraction techniques from monitored data of the PV system in real operation of work. The degradation rate and the stabilization period of micromorph TFPV modules are evaluated. The analysis of the degradation rate, together to results obtained for the evolution of each of the solar cell model parameters along the outdoor long-term exposure allow a better understanding of changes in performance of micromorph TFPV modules and the behavior of the output power of the PV generator.
Sofiane Kichou; Elif Abaslioglu; Santiago Silvestre; Gustavo Nofuentes; Miguel Torres-Ramírez; Aissa Chouder. Study of degradation and evaluation of model parameters of micromorph silicon photovoltaic modules under outdoor long term exposure in Jaén, Spain. Energy Conversion and Management 2016, 120, 109 -119.
AMA StyleSofiane Kichou, Elif Abaslioglu, Santiago Silvestre, Gustavo Nofuentes, Miguel Torres-Ramírez, Aissa Chouder. Study of degradation and evaluation of model parameters of micromorph silicon photovoltaic modules under outdoor long term exposure in Jaén, Spain. Energy Conversion and Management. 2016; 120 ():109-119.
Chicago/Turabian StyleSofiane Kichou; Elif Abaslioglu; Santiago Silvestre; Gustavo Nofuentes; Miguel Torres-Ramírez; Aissa Chouder. 2016. "Study of degradation and evaluation of model parameters of micromorph silicon photovoltaic modules under outdoor long term exposure in Jaén, Spain." Energy Conversion and Management 120, no. : 109-119.
Four years׳ behavioral data of thin-film single junction amorphous silicon (a-Si) photovoltaic (PV) modules installed in a relatively dry and sunny inland site with a Continental-Mediterranean climate (in the city of Jaén, Spain) are presented in this article. The shared data contributes to clarify how the Light Induced Degradation (LID) impacts the output power generated by the PV array, especially in the first days of exposure under outdoor conditions. Furthermore, a valuable methodology is provided in this data article permitting the assessment of the degradation rate and the stabilization period of the PV modules. Further discussions and interpretations concerning the data shared in this article can be found in the research paper "Characterization of degradation and evaluation of model parameters of amorphous silicon photovoltaic modules under outdoor long term exposure" (Kichou et al., 2016) [1].
Sofiane Kichou; Santiago Silvestre; Gustavo Nofuentes; Miguel Torres-Ramírez; Aissa Chouder; Daniel Guasch. Behavioral data of thin-film single junction amorphous silicon (a-Si) photovoltaic modules under outdoor long term exposure. Data in Brief 2016, 7, 366 -371.
AMA StyleSofiane Kichou, Santiago Silvestre, Gustavo Nofuentes, Miguel Torres-Ramírez, Aissa Chouder, Daniel Guasch. Behavioral data of thin-film single junction amorphous silicon (a-Si) photovoltaic modules under outdoor long term exposure. Data in Brief. 2016; 7 ():366-371.
Chicago/Turabian StyleSofiane Kichou; Santiago Silvestre; Gustavo Nofuentes; Miguel Torres-Ramírez; Aissa Chouder; Daniel Guasch. 2016. "Behavioral data of thin-film single junction amorphous silicon (a-Si) photovoltaic modules under outdoor long term exposure." Data in Brief 7, no. : 366-371.
The analysis of the degradation of thin-film single junction a-Si PV (photovoltaic) modules and its impact on the output power of a PV array under outdoor long term exposure located in Jaén (Spain), a relatively dry and sunny inland site with a Continental-Mediterranean climate is addressed in this paper. Furthermore, a new procedure of solar cell model parameters extraction experimentally validated is presented. The parameter extraction procedure allows obtaining main model parameters of the solar cells forming the PV array from monitored data of the PV system in real operation of work. Results obtained of the evolution of each one of the solar cell model parameters along the PV system outdoor long term exposure campaign are analysed in order to achieve a better understanding of the performance changes of the PV modules and the behaviour of the output power of the PV array.
Sofiane Kichou; Santiago Silvestre; Gustavo Nofuentes; Miguel Torres-Ramírez; Aissa Chouder; Daniel Guasch-Murillo. Characterization of degradation and evaluation of model parameters of amorphous silicon photovoltaic modules under outdoor long term exposure. Energy 2016, 96, 231 -241.
AMA StyleSofiane Kichou, Santiago Silvestre, Gustavo Nofuentes, Miguel Torres-Ramírez, Aissa Chouder, Daniel Guasch-Murillo. Characterization of degradation and evaluation of model parameters of amorphous silicon photovoltaic modules under outdoor long term exposure. Energy. 2016; 96 ():231-241.
Chicago/Turabian StyleSofiane Kichou; Santiago Silvestre; Gustavo Nofuentes; Miguel Torres-Ramírez; Aissa Chouder; Daniel Guasch-Murillo. 2016. "Characterization of degradation and evaluation of model parameters of amorphous silicon photovoltaic modules under outdoor long term exposure." Energy 96, no. : 231-241.
To ensure the optimization of the energy generated by grid connected PV (photovoltaic) systems is necessary to plan a strategy of automatic fault detection. The analysis of current and voltage indicators have demonstrated effectiveness in the detection of permanent faults in the PV array in real time as short-circuits or open circuits present in the system. In this paper, the analysis of the evolution of these indicators is focused on the detection of temporary faults due to partial shade on the PV array or disconnection of the inverter in case of grid fluctuations of voltage or frequency to prevent islanding. These situations can be identified by observation of the evolution of both indicators and power losses due to these effects can be evaluated from them. The analysis and experimental validation were carried out in two grid connected PV systems in Spain and Algeria.Peer ReviewedPostprint (author's final draft
Santiago Silvestre; Sofiane Kichou; Aissa Chouder; Gustavo Nofuentes; Engin Karatepe. Analysis of current and voltage indicators in grid connected PV (photovoltaic) systems working in faulty and partial shading conditions. Energy 2015, 86, 42 -50.
AMA StyleSantiago Silvestre, Sofiane Kichou, Aissa Chouder, Gustavo Nofuentes, Engin Karatepe. Analysis of current and voltage indicators in grid connected PV (photovoltaic) systems working in faulty and partial shading conditions. Energy. 2015; 86 ():42-50.
Chicago/Turabian StyleSantiago Silvestre; Sofiane Kichou; Aissa Chouder; Gustavo Nofuentes; Engin Karatepe. 2015. "Analysis of current and voltage indicators in grid connected PV (photovoltaic) systems working in faulty and partial shading conditions." Energy 86, no. : 42-50.