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[IEEE 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) - Waikoloa Village, HI, USA (2018.6.10-2018.6.15)] 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) - Commercial Test of Anti-Reflective Coating on First Solar Cadmium Telluride PV Modules
摘要： Anti-reflective coatings (ARC) are commonly applied to photovoltaic (PV) modules in the solar industry to increase power and energy output. In addition to characterization of initial module power and angle of incidence modifier (IAM), it is important to verify that the expected gain is observed in commercial system operation. This analysis shows the increased performance of ARC First Solar CdTe PV modules compared to non-ARC equivalent modules in a commercial test in New South Wales, Australia. PPI analysis indicates a sustained ARC performance gain over time, suggesting good ARC durability. Detailed actual-expected analysis shows both array types performing at or above expected levels after almost 2 years in the field. ARC arrays show slightly greater benefit than predicted compared to non-ARC arrays.
关键词： CdTe thin film photovoltaics,solar power generation,performance analysis,photovoltaic systems,PV anti-reflective coatings,solar energy
更新于2025-09-23 15:23:52
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[IEEE 2018 IEEE Industry Applications Society Annual Meeting (IAS) - Portland, OR, USA (2018.9.23-2018.9.27)] 2018 IEEE Industry Applications Society Annual Meeting (IAS) - Modified SEPIC Converter Utilizing an Improved P&O Algorithm for Design of Low Cost and Efficient Solar Energized Water Pump
摘要： This paper proposes a reliable and an efficient PV (Photovoltaic) powered water pump using a modified SEPIC converter with high static gain. The modified SEPIC converter has low switch voltage stress with high efficiency. It provides almost twice the static gain as compared to conventional boost converter and provides relatively large area for execution of maximum power point tracking (MPPT) controller. The switched reluctance motor (SRM) drive speed is controlled by using pulse width modulation (PWM) of a mid-point converter using only one voltage sensor. It supports to reduce the size of DC link capacitor and provides soft starting to drive via regulating the DC bus voltage. The operation of modified SEPIC converter in continuous inductor current mode (CICM) minimizes the stress on its devices and improves its conversion performance. An improved P&O (Perturb and observe) MPPT technique is used in proposed system. This MPPT controller has an additional advantage of regulating the flow rate of water pumping by adjusting the duty cycle of proposed DC-to-DC converter. The design procedure of system is described and a test bed is developed to verify its aptness under changing climate situations.
关键词： MPPT,Solar power generation,PWM switching,Modified SEPIC converter,SRM drive
更新于2025-09-23 15:22:29
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MPC Algorithm With Reduced Computational Burden and Fixed Switching Spectrum for a Multilevel Inverter in a Photovoltaic System
摘要： Renewable energy has gained significant attention of researchers in the last years, mainly due to the importance of using unlimited energy sources to supply homes, industries, cities and countries. In this context, this document focuses on the solar injection by employing a neutral point clamped (NPC) topology together with utilization of a maximum power point tracking (MPPT) and space vector modulation (SVM) techniques. Model predictive control (MPC) is employed to manage the currents and track their references. The proposed algorithms do not employ a cost function to decide which voltage to apply resulting in a spread frequency spectrum, and instead, a concentrated SVM spectrum is imposed. Notwithstanding, the DC link capacitors voltage balance is ensured and the computational burden is notably reduced as compared to traditional Finite Set Model Predictive Control (FS-MPC). Nevertheless, the consistent results are a consequence of the critical analysis that shows the feasibility of the proposal and guarantees the good performance of the entire system in simulated and experimental platforms.
关键词： Fixed switching spectrum MPC,AC-DC power converters,Fast MPC,Predictive control,Solar power generation
更新于2025-09-23 15:21:01
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Dopant Diffusion through Selective Surface Regions to Improve Efficiency in Micro/Nano Textured Thin Solar Cells
摘要： We introduce a simple method to improve efficiency in micro/nano textured solar cells by diffusing a dopant through selective surface regions. This method is effective when the texture size is comparable to or smaller than the characteristic diffusion length. In this size regime, strong inhomogeneity in the dopant concentration often develops in the cells. In our case, the texture is an array of nanopyramidal dips on thin crystalline silicon solar cells. Our simulations for the texture show strong inhomogeneity in the dopant concentration along the textured surface. The strong inhomogeneity creates electrically inactive regions in the texture. With our doping method, our simulations show that the inhomogeneity can be significantly reduced to enhance charge collection efficiency. We confirm this prediction by directly measuring photovoltaic efficiencies of solar cells fabricated with and without using our doping method of selective diffusion. Our experiments demonstrate that our selective dopant diffusion enhances the efficiency from 12.5% to 13.3% for free- standing 15-?m-thick silicon solar cells textured with periodic nanopyramidal dips. Our method would be generally applicable for other micro/nano structures, semiconductor materials, and optoelectronic devices.
关键词： photovoltaic systems,solar power generation,generation,Power engineering and energy,energy,photovoltaic cells
更新于2025-09-23 15:19:57
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Probabilistic Generation Model of Solar Irradiance for Grid Connected Photovoltaic Systems Using Weibull Distribution
摘要： Around the world, countries are integrating photovoltaic generating systems to the grid to support climate change initiatives. However, solar power generation is highly uncertain due to variations in solar irradiance level during different hours of the day. Inaccurate modelling of this variability can lead to non-optimal dispatch of system resources. Therefore, accurate characterization of solar irradiance patterns is essential for effective management of renewable energy resources in an electrical power grid. In this paper, the Weibull distribution based probabilistic model is presented for characterization of solar irradiance patterns. Firstly, Weibull distribution is utilized to model inter-temporal variations associated with reference solar irradiance data through moving window averaging technique, and then the proposed model is used for irradiance pattern generation. To achieve continuity of discrete Weibull distribution parameters calculated at different steps of moving window, Generalized Regression Neural Network (GRNN) is employed. Goodness of Fit (GOF) techniques are used to calculate the error between mean and standard deviation of generated and reference patterns. The comparison of GOF results with the literature shows that the proposed model has improved performance. The presented model can be used for power system planning studies where the uncertainty of different resources such as generation, load, network, etc., needs to be considered for their better management.
关键词： solar power generation,irradiance patterns,Weibull distribution
更新于2025-09-23 15:19:57
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - A method for error compensation of modeled annual energy production estimates introduced by intra-hour irradiance variability at PV power plants with a high DC to AC ratio
摘要： Financial models of PV power plants that are created during the development phase of a project are typically based upon simulations performed at hourly timesteps. Historical irradiance data used in these simulations, such as a Typical Meteorological Year, are created from average irradiances over hour-long periods. We find that when actual weather conditions include significant intra-hour variability in irradiance, the annual energy production estimates based on modeling in hourly timesteps will not account for all inverter clipping which occurs during moments of high irradiance. This effect is particularly significant for systems with high a DC to AC nameplate ratio. At some PV plants already in operation, this phenomenon has been found to result in overestimated production estimates of nearly 5%. In this work, the average amount of this error is quantified for locations within the United States, and a methodology is proposed for compensating for it in post processing. This methodology applies a variable discount to each hour of the year for hourly energy output simulations based on irradiance. The discount function is intended to account for the difference in useful insolation as computed from hourly average irradiance data versus sub-hourly sampling rates.
关键词： photovoltaic systems,power system modeling,performance analysis,solar energy,solar power generation,power system simulation
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Enhanced Photovoltaic Power Model Fidelity Using On-Site Irradiance and Degradation-Informed Performance Input
摘要： The impact of irradiance data collection location and degradation-informed module performance on irradiance-to-power model accuracy is evaluated. A decrease in RMSE of over 20% is found for output power predictions using NREL PVWatts when site-specific irradiance data are coupled with maximum power point output characteristics obtained using accelerated lifecycle testing.
关键词： photovoltaic cells,solar power generation,forecasting,degradation
更新于2025-09-19 17:13:59
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[IEEE 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) - Sarajevo, Bosnia and Herzegovina (2018.10.21-2018.10.25)] 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) - Evaluation of Photovoltaic Systems for Reactive Power Compensation in Low Voltage Power Systems
摘要： The four-quadrant operation ability of photovoltaic (PV) inverters makes them promising candidates for reactive power compensation in low voltage systems. In this paper, utilization of PV inverters instead of conventional reactive power compensation units is evaluated. The use of PV inverters for reactive power compensation as well as active power supplying is investigated considering a real life system. The considered system suffers from low capacitive power factor due to the connected online UPS system. The paper firstly analyzes utilization of low voltage PV systems for reactive power compensation purpose technically, and then presents a detailed economic study in terms of short and long-term costs. The costs are evaluated considering reactive demand charge to the customer.
关键词： PV inverters,reactive demand charge,Solar power generation,reactive power compensation
更新于2025-09-11 14:15:04
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Blue skies over China: The effect of pollution-control on solar power generation and revenues
摘要： Air pollution is the single most important environmental health risk, causing about 7 million premature deaths annually worldwide. China is the world’s largest emitter of anthropogenic air pollutants, which causes major negative health consequences. The Chinese government has implemented several policies to reduce air pollution, with success in some but far from all sectors. In addition to the health benefits, reducing air pollution will have side-benefits, such as an increase in the electricity generated by the solar photovoltaic panels via an increase in surface solar irradiance through a reduction of haze and aerosol-impacted clouds. We use the global aerosol-climate model ECHAM6-HAM2 with the bottom-up emissions inventory from the Community Emission Data System and quantify the geographically specific increases in generation and economic revenue to the Chinese solar photovoltaic fleet as a result of reducing or eliminating air pollution from the energy, industrial, transport, and residential and commercial sectors. We find that by 2040, the gains will be substantial: the projected solar photovoltaic fleet would produce between 85–158 TWh/year of additional power in clean compared to polluted air, generating US$6.9–10.1 billion of additional annual revenues in the solar photovoltaic sector alone. Furthermore, we quantify the cost of adopting best-practice emission standards in all sectors and find that the revenue gains from the increased solar photovoltaic generation could offset up to about 13–17% of the costs of strong air pollution control measures designed to reach near-zero emissions in all sectors. Hence, reducing air pollution in China will not only have clear health benefits, but the side-effect of increased solar power generation would also offset a sizeable share of the costs of air pollution control measures.
关键词： China,pollution-control,air pollution,solar power generation,economic revenue
更新于2025-09-10 09:29:36
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<b>Compatibility of Anfis controller and FPGA in solar power generation for a domestic oad
摘要： Among other soft computing techniques, the Adaptive Neuro Fuzzy Inference System (Anfis) gives a significant and advantageous result in solar power generation, especially in tracking the maximum power point. Due to the dynamic nature of solar irradiance and temperature, efficient energy conversion is not possible. However, advancements in the areas of artificial intelligence have made it possible to overcome the hurdles. The Maximum Power Point Tracking (MPPT) technique adopting the advantages of Anfis has been proven to be more successful with a fast dynamic response and high accuracy. The complete system is modeled using Matlab/Simulink; the hardware results are validated with the benefits of Field Programmable Logic Array (FPGA) instead of ordinary micro-controllers.
关键词： DC-AC power conversion,MPPT,FPGA,Anfis controller,solar power generation
更新于2025-09-09 09:28:46