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[IEEE 2018 Power Systems Computation Conference (PSCC) - Dublin, Ireland (2018.6.11-2018.6.15)] 2018 Power Systems Computation Conference (PSCC) - Annual Evaluation of Supply-Demand with BESS Charging/Discharging Schedule and UC Updating Based on Intraday Forecasted PV Power Outputs
摘要： In recent years, photovoltaic (PV) systems have been installed in Japan at an accelerated rate. The application of PV generation forecasts and the utilization of energy storage devices in power system operation are essential to reduce supply–demand imbalances and enable the use of more PV energy without curtailment. In this paper, assuming extremely high PV generation after 2030, we focus on the coordinated operation of a battery energy storage system (BESS) and conventional power plants. We propose a method of determining and updating the BESS charging/discharging schedule and generator unit commitment based on the day-ahead and intraday PV generation forecasts. We present an evaluation of this method based on the results of numerical simulations conducted for one year on a bulk power system model to demonstrate the effectiveness with which it reduces energy shortfall and PV power curtailment.
关键词： power system,Battery energy storage system (BESS),photovoltaic (PV) generation,PV generation forecast,unit commitment (UC)
更新于2025-09-23 15:22:29
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Economic Analysis for Residential Solar PV Systems Based on Different Demand Charge Tariffs
摘要： It is well known that the use of photovoltaic (PV) systems helps to preserve the environment, produce lower levels of greenhouse gases (GHGs), and reduce global warming, however, whether it is economically profitable for customers or not is highly debatable. This paper aims to address this issue. To be comprehensive, three different types of buildings are considered as case studies. Then, these three buildings are modeled in EnergyPlus to determine the rate of energy consumption. Afterward, comparisons of various solar system sizes based on economic parameters such as the internal rate of return, the net present value, payback period and profitability indexing for various-sized PV systems are carried out. The results show that by the demand charge tariffs, using PV systems has no economic justification. It has been shown that even with neglecting further costs of the PV system like maintenance, by demand charge tariffs, it is not economically beneficial for customers to use the PV systems. Profitability index of all three buildings with various PV power systems is between 0.2 to 0.8, which are by no means is desirable. Moreover, it was found that bigger solar systems are less cost-effective in the presence of demand charges.
关键词： photovoltaic (PV) systems,economic analysis,energy in buildings,EnergyPlus
更新于2025-09-23 15:22:29
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Performance evaluation of a MPPT controller with model predictive control for a photovoltaic system
摘要： Efficiency has been a major factor in the growth of photovoltaic (PV) systems. Different control techniques have been explored to extract maximum power from PV systems under varying environmental conditions. This paper evaluates the performance of a new improved control technique known as model predictive control (MPC) in power extraction from PV systems. Exploiting the ability of MPC to predict future state of controlled variables, MPC has been implemented for tacking of maximum power point (MPP) of a PV system. Application of MPC for maximum power point tracking (MPPT) has been found to result into faster tracking of MPP under continuously varying atmospheric conditions providing an efficient system. It helps in reducing unwanted oscillations with an increase in tracking speed. A detailed step by step process of designing a model predictive controller has been discussed. Here, MPC has been applied in conjunction with conventional perturb and observe (P&O) method for controlling the dc-dc boost converter switching, harvesting maximum power from a PV array. The results of MPC controller has been compared with two widely used conventional methods of MPPT, viz. incremental conductance method and P&O method. The MPC controller scheme has been designed, implemented and tested in MATLAB/Simulink environment and has also been experimentally validated using a laboratory prototype of a PV system.
关键词： maximum power point tracking (MPPT),prediction model,Model predictive control (MPC),cost function,photovoltaic (PV),renewable energy
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) - Reproducing the a??Framinga?? by a Sequential Stress Test
摘要： The “Framing” (local discoloration along cell edges) was induced by a simple sequential accelerated stress test (consisting of hygrothermal- and UV-stressors) applied to the PV modules with high OTR (oxygen transmission rate) backsheet, irrespective of the inclusion of UV-absorber in poly(ethylene-co-vinyl acetate) (EVA) encapsulant. UV-fluorescence imaging of the PV modules suggests that the spatially-inhomogeneous degradation of EVA material under UV-irradiating conditions is correlated to this “Framing” indicating an underlying common mechanism. These findings would contribute to the development of test procedures to broadly mimic the actual failures observed in fielded PV.
关键词： snail trail,metallization,framing,photovoltaic (PV) module,ultraviolet (UV)-induced degradation
更新于2025-09-23 15:21:01
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Study of solar irradiance and performance analysis of submerged monocrystalline and polycrystalline solar cells
摘要： Underwater photovoltaic (PV) systems supported with modern-day technology can lead to possible solutions for the lack of long-term power sources in marine electronics, navy corps, and many other remotely operated underwater power systems. Currently, most of these systems are powered by conventional batteries, which are bulky, costly, and require periodic maintenance and replacement. Harnessing the underwater Solar energy by using Solar PV cells is simple, reliable, and leads to tremendous advantageous as water itself provides cooling, cleaning, and avoid challenges due to land constraints. The present work encompasses an experimental study on Solar radiation in water and its changes with varying water conditions. Accordingly, the performance of monocrystalline and polycrystalline silicon solar cells with different submerged water conditions and water depths up to 20 cm has been studied. Most importantly, these studies have been carried out with different types of water conditions, consisting of salinity, bacteria, algae, and other water impurities. These investigation results manifest that the percentage decrease of maximum power output in monocrystalline and polycrystalline Solar cells is 65.85% and 62.55%, respectively, in the case of ocean water conditions, whereas in deionized (DI) water conditions, it is 63.06% and 60.72% up to 20 cm. Such results conclude that valuable amount of Solar energy is can be explored underwater. These experimental studies pave the way to explore further to utilize Solar PV cells efficiently in underwater conditions.
关键词： monocrystalline Solar cell,underwater Solar radiation,photovoltaic (PV) technology,PDMS (polydimethylsiloxane),water salinity,polycrystalline Solar cell
更新于2025-09-23 15:21:01
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Snow Loss Prediction for Photovoltaic Farms Using Computational Intelligence Techniques
摘要： With the recent widespread deployment of Photovoltaic (PV) panels in the northern snow-prone areas, performance analysis of these panels is getting much more importance. Partial or full reduction in energy yield due to snow accumulation on the surface of PV panels, which is referred to as snow loss, reduces their operational efficiency. Developing intelligent algorithms to accurately predict the future snow loss of PV farms is addressed in this article for the first time. The article proposes daily snow loss prediction models using machine learning algorithms solely based on meteorological data. The algorithms include regression trees, gradient boosted trees, random forest, feed-forward and recurrent artificial neural networks, and support vector machines. The prediction models are built based on the snow loss of a PV farm located in Ontario, Canada which is calculated using a 3-stage model and hourly data records over a 4-year period. The stages of the aforementioned model consist of: stage I: yield determination, stage II: power loss calculation, and stage III: snow loss extraction. The functionality of the proposed prediction models is validated over the historical data and the optimal hyperparameters are selected for each model to achieve the best results. Among all the models, gradient boosted trees obtained the minimum prediction error and thus the best performance. The results achieved prove the effectiveness of the proposed models for the prediction of daily snow loss of PV farms.
关键词： snow loss,Intelligent prediction,snowfall,photovoltaic (PV) farm,machine learning
更新于2025-09-23 15:21:01
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Design Optimization of Photovoltaic Cell Stacking in a Triple-Well CMOS Process
摘要： Various self-powered devices employ energy-harvesting technology to capture and store an ambient energy. The photovoltaic (PV) cell is one of the most preferred approaches due to its potential for on-chip integration. Although serial connection of multiple PV cells is commonly required to obtain a sufficiently high voltage for circuit operation, a voltage boosting with serially stacked PV cells is limited in a standard bulk CMOS process because all the PV cells are intrinsically connected to the common substrate. It is possible to increase the output voltage by stacking multiple PV cells with a large area ratio between stages. However, nonoptimal design results in a poor conversion efficiency or a limited open-circuit voltage, making it unsuitable for practical applications. This article proposes a stacking structure and its optimal design method for PV cell stacking in a triple-well CMOS process. The proposed approach utilizes an additional current-sourcing photodiode and an optical filter, which allow high voltage generation without a significant efficiency degradation. The test chip with four-stage stacked PV cells was fabricated using a 0.25-μm standard triple-well CMOS process. The experimental results demonstrate an output voltage of 1.6 V and an electrical power of 263 nW/mm2 under an incident illumination with an intensity of 96 μW/mm2, achieving a responsivity of 1.91 mA/W and a conversion efficiency of 0.27%.
关键词： on-chip solar cell,photovoltaic (PV) cell stacking,Energy harvesting,voltage boosting
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) - Data-integrity Checks and Balances in Monitoring of a Solar PV System
摘要： This paper proposes to perform certain integrity checks and balances to omit the wrong data in the monitoring of a solar PV plant. Further, these checks and balances are segregated into three types: basic, specific, and pattern checks. The former is performed on the data collected from all the types of sensors. However, the second check is performed on the data collected from the specific instruments. These checks are specific to the site, instrument, parameter, etc. The third check verifies the shape of profiles between the data of different sections of the PV system. For the data-inclusion/deletion purpose, the parameters of PV plant are segregated into a triangle-hierarchy of highest-least priority. Some of the proposed checks are performed on the raw data collected from a grid-tied 271 kW PV plant and 6.4 kW test PV plant. The results have indeed identified some of the bad data and validated the proposed checks.
关键词： photovoltaic (PV),PV plant health monitoring,data quality,data integrity,PV plant data,maximum power point tracking (MPPT)
更新于2025-09-23 15:21:01
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Phase-locked Strategy of Photovoltaic Connected to Distribution Network with High Proportion Electric Arc Furnace
摘要： With the rapid development of industrialization, the proportion of electric arc furnaces (EAF) in distribution networks is getting higher and higher. Aiming at the problem that grid voltage is distorted by a large number of arc furnace nonlinear loads accessing to distribution networks, it is crucial to make dynamic analysis of distribution network voltage and adopt a control strategy of grid-connected converter based on the new phase-locked loop (PLL) technology. As a result, the harmonic distortion rate is reduced and the quality of grid-connected current and voltage is improved. In this paper, photovoltaic (PV) system model and the typical dynamic model of the EAF are established. By analyzing the influence of the EAF model on the PV grid-connected converter with the traditional phase-locked loop while connected to distribution network, a control strategy of the PV grid-connected converter with the self-adjusting double SOGI (MAF-SASOGI) phase-locked loop with the ideal low-pass filter is proposed. Through the simulation analysis, it is verified that precise phase locked can be realized and harmonic content of the system can be reduced by the PLL strategy proposed in this paper. Therefore, the quality of PV grid-connected voltage and current is improved.
关键词： Electric arc furnaces (EAF),Photovoltaic(PV) grid-connected,Voltage distortion,Distribution network,Phase-locked strategy
更新于2025-09-23 15:21:01
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A Reconfigurable and Extendable Single-Inductor Single-Path Three-Switch Converter for Indoor Photovoltaic Energy Harvesting
摘要： This article proposes a single-path three-switch (1P3S) single-inductor dual-input dual-output (SIDIDO) converter to manage power among a photovoltaic (PV) module, battery, and load for indoor PV energy harvesting. For low duty-cycle applications, the 1P3S converter increases efficiency in the PV-to-battery-to-load path by eliminating inductor-sharing power switches. This article also proposes a reconfigurable controller to achieve reconfigurability and extendibility that the 1P3S converter can be reconfigured as a dual-path three-switch (2P3S) SIDIDO converter, combined as a dual-path six-switch (2P6S) SIDIDO converter, or extended as a paralleled-1P3S converter for high energy efficiency in various applications with different PV and load power profiles. To identify each converter’s advantageous applications, the efficiencies of the 1P3S, reconfigured 2P3S, and combined 2P6S converters were analyzed under dynamic PV and load powers. The chip is fabricated in the 0.5-μm CMOS process with a 1.24-mm2 chip area. The measured peak efficiencies for the 1P3S, 2P3S, and 2P6S converters are 95.0%, 95.2%, and 90.0%, respectively, while the measured quiescent currents are 210, 130, and 140 nA, respectively. Compared with the state-of-the-art 2P3S and 2P6S converters, the reconfigured 2P3S and combined 2P6S converters with the proposed IC, respectively, achieve higher efficiency through appropriate switch sizes and ON-time optimizations.
关键词： Dual-path six-switch (2P6S),single-path three-switch (1P3S),dual-path three-switch (2P3S),maximum power point tracking (MPPT),photovoltaic (PV) energy harvesting,energy efficiency,reconfigurable controller
更新于2025-09-23 15:21:01