- 标题
- 摘要
- 关键词
- 实验方案
- 产品
过滤筛选
- 2019
- 2018
- 2015
- Photovoltaic system
- photovoltaic generation
- voltage regulation
- battery storage
- low-voltage networks
- charge – discharge energy efficiency
- Lithium-ion battery
- degradation diagnosis
- photovoltaic surplus energy
- working electric vehicle
- Electrical Engineering and Automation
- Optoelectronic Information Materials and Devices
- Optoelectronic Information Science and Engineering
- Institut Teknologi Sepuluh Nopember- ITS
- National technical University “Kharkiv Polytechnic Institute”
- State Grid Shanxi Electric Power Research Institute
- Xi’an Jiaotong University
- Zhengzhou University
- Tsinghua University
- Kuban State Agrarian University
- Cochin University College of Engineering
- University of Calgary
- Ritsumeikan University
-
Photovoltaic Roof Tiles: The Influence of Heat Recovery on Overall Performance
摘要： A photovoltaic (PV) roof tile serves both as a roofing material and as an electricity-producing surface. The main aim of the present study was to increase the overall system efficiency of PV tiles by using heat recovery. The chosen strategy was two-fold: determine the operational efficiency of PV tiles and optimize construction to increase the cooling effect when using air as the working medium. A detailed experimental study was undertaken to determine these effects. The results indicated that a combined electrical and thermal efficiency of 24% could be reached. This is promising and proves the potential for air to be the working medium in such systems. Moreover, this shows a direction for future system optimization.
关键词： experimental study,photovoltaic (PV) roof tiles,heat recovery,efficiency performance of electricity generation,solar light simulator
更新于2025-09-11 14:15:04
-
Short Term Prediction of Photovoltaic Power Based on FCM and CG-DBN Combination
摘要： Affected by many factors, the photovoltaic output power is characterized by nonlinearity, volatility and instability. Therefore, short-term forecasting models are required to have multiple inputs, levels, and categories. In order to solve the above problems and improve the accuracy of predictions, this paper proposes a combined model prediction method based on similar-day clustering and the use of Conjugate Gradient (CG) to improve Deep Belief Network (DBN). The initial method uses fuzzy C-Means Clustering Algorithm (FCM) to perform similar-day clustering on the original data according to the degree of membership. The CG-DBN prediction model is then designed according to the category, with the model ultimately being used to perform the short-term prediction of the PV output power. The proposed scheme uses data from Zhejiang Longyou power station for experimental analysis and verification, and the results were compared with the back propagation neural networks model, Support Vector Machine (SVM) model, and traditional deep belief network. The model’s predicted results are compared. Finally, it is concluded that, in the short-term PV power load forecasting, the prediction performance of the FCM and CG-DBN combination forecast model is better than the above three models and has strong feasibility in short-term PV power forecasting.
关键词： Depth belief network,Photovoltaic short-term forecast,Similar day clustering,Combined forecasting model
更新于2025-09-11 14:15:04
-
Study on the impacts of meteorological factors on distributed photovoltaic accommodation considering dynamic line parameters
摘要： During the operation of a distribution network, the meteorological factors (e.g., the wind speed, wind direction, ambient temperature and solar radiation) affect not only the maximum available output of the photovoltaic (PV) plant but also the parameters of the overhead line, such as the resistance and thermal rating. Since the degree to which the PV output can be accommodated is limited by the thermal rating and nodal voltage constraints, the impacts of the meteorological factors should be fully considered in the evaluation of the distributed PV accommodation. However, the resistance and thermal rating of the overhead line are conventionally assumed to be static, resulting in inaccurate PV accommodation evaluation. In this context, this paper explores the impacts of meteorological factors on the distributed PV accommodation by considering the dynamic line parameters. A PV accommodation evaluation model that integrates the temperature-dependent resistance and the dynamic line rating (DLR) is proposed. To solve the model, a power flow algorithm integrating the temperature-dependent resistance is utilized. Case studies over multiple timescales are carried out based on actual meteorological and load data. The results show that the application of DLR increases the power generation and investment benefit of PV plant by 2.59% and 5.05% respectively, and leads to a higher installed PV capacity. Meanwhile, considering the impacts of meteorological factors on the resistance can more accurately prevent the voltage from exceeding the constraint.
关键词： Photovoltaic accommodation,Temperature-dependent resistance,Meteorological factors,Dynamic line rating (DLR)
更新于2025-09-11 14:15:04
-
Study on nonlinear dynamic behavior and stable operation region of single-phase photovoltaic inverter
摘要： In order to design a photovoltaic inverter with excellent performance, the second-order photovoltaic inverter circuit model under current loop proportional control is established in this paper, the discrete iterative model of system is also obtained. The nonlinear behavior of system is analysed in detail through bifurcation diagram, folding diagram and the phase diagram of output current (i) and output voltage (uc). The simulation model is constructed in Matlab/Simulink, and the correctness of theoretical analysis is verified through time domain waveform and phase-space map. The influence of bifurcation and chaos on system spectrum is analysed from the frequency domain. According to the Jacobian matrix of system, the stable operation region of system is given. The experiment shows that the correct selection of circuit parameters is important for the stable operation of system.
关键词： nonlinear dynamic behavior,stable operation region,chaos,bifurcation,photovoltaic inverter
更新于2025-09-11 14:15:04
-
Fault Diagnosis Method of Photovoltaic Array Based on BP Neural Network
摘要： Photovoltaic arrays are prone to various failures due to long-term work. In order to quickly and accurately diagnose the type of failure of the PV array and implement online monitoring of the PV array, this paper proposes the BP neural network for PV array fault diagnosis, and proposes a network search method when training BP neural network. And the K-cross-validation method is used to select the number of hidden layer nodes. The BP neural network fault diagnosis model designed and trained by this method is proved to have high precision.
关键词： BP neural network,hidden layer nodes,fault diagnosis,K-cross-validation,Photovoltaic array
更新于2025-09-11 14:15:04
-
Processing Strategies for an Organic Photovoltaic Module with over 10% Efficiency
摘要： A large-area module (active area > 20 cm2) with a power conversion efficiency (PCE) of 10.4% (certified at 10.1%) using a non-fullerene blend was demonstrated, which is by far the highest PCE reported to date. The same module also delivers a power of ~40 mW/cm2 (PCE ~22%) under indoor lighting. Equally important, PCEs of 12%–14% were achieved for blends processed in ambient and/or without halogenated solvent.
关键词： module,halogen-free solvent,non-fullerene acceptor,ambient processing,organic photovoltaic,efficiency
更新于2025-09-11 14:15:04
-
Control and Optimization of Residential Photovoltaic Power Generation System With High Efficiency Isolated Bidirectional DC–DC Converter
摘要： Currently, residential photovoltaic power generation system is increasingly used worldwide. In this paper, an optimized structure of residential photovoltaic (PV) power generation system with 1500V DC bus is proposed. It includes PV panels, a three-level boost converter, a high efficiency isolated bidirectional DC-DC converter, battery and three-phase five-level DC-AC converter that can work under islanding mode or grid-connected mode. The higher DC bus voltage greatly reduces line loss and improves efficiency of the system. An energy management scheme used for the system is proposed in this paper to guarantee the stability of the system and to increase its economic benefits. Besides, the optimized method for the structure of the bidirectional dc-dc converter is proposed. This structure can achieve higher DC voltage gain and higher efficiency. Furthermore, for low voltage battery application in the residential system, LLC and CLLC under DC transformer (DCX) mode are evaluated and the LLC is selected as the isolated bidirectional DC-DC converter. The optimized designed method of bidirectional LLC is proposed. Finally, experiments are carried out to verify the performance of the optimized converters and the system.
关键词： high efficiency,Energy management scheme,isolated bidirectional DC-DC converter,residential photovoltaic power generation system,LLC converter
更新于2025-09-11 14:15:04
-
Data-Driven Photovoltaic Generation Forecasting based on Bayesian Network with Spatial-Temporal Correlation Analysis
摘要： Spatio-temporal analysis has been recognized as one of the most promising techniques to improve the accuracy of photovoltaic (PV) generation forecasts. In recent years, PV generation data of a number of PV systems distributed in a geographical locale have become increasingly available. This paper conducts a thorough investigation of the spatial-temporal correlation amongst PV generation data of distributed PV systems. PV generation data of different PV systems located at different sites may exhibit similar time varying patterns. To quantify such spatial correlation, a suitable spatial similarity metric is chosen and its applicability is examined. To evaluate the temporal correlations amongst PV generation data collected from distributed PV systems, a shape-based distance metric is proposed. A data-driven inference model, built on a Bayesian network, is developed for a very short-term PV generation forecast (less than 30 minutes). The model utilizes historic PV generation and weather data, and incorporates the above spatial similarity and temporal correlation to support the PV output forecast. The experiment results show that the proposed method achieves a promising performance compared to a number of baseline methods.
关键词： Photovoltaic (PV) output,Spatial and temporal correlation,Bayesian networks,Forecast
更新于2025-09-11 14:15:04
-
Ultra-Robust Deep-UV Photovoltaic Detector Based on Graphene/(AlGa) <sub/>2</sub> O <sub/>3</sub> /GaN with High-Performance in Temperature Fluctuations
摘要： A strategy of adopting Ga2O3 alloyed with Al element to reduce the oxygen vacancy defect density and to enhance the interface barrier height of Ga2O3 heterojunction is proposed to fabricate deep-UV photovoltaic detectors with high thermal stability, high photoresponsivity and fast response speed. Here, a graphene/(AlGa)2O3/GaN device with a photoresponsivity of ~20 mA/W, a rise time of ~2 μs and a decay time of ~10 ms is presented at 0 V bias. At the working temperature of 453 K, the device still exhibits a photo-to-dark current ratio (PDCR) of ~1.8×103, which is 1-2 orders of magnitude higher than that of reported high temperature deep-UV film detectors. By comparing the formation energy of oxygen vacancy defects and the interface barrier height of heterojunction at different temperatures in graphene/Ga2O3/GaN and graphene/(AlGa)2O3/GaN systems respectively, the strategy of synthesizing (AlGa)2O3 ternary composite alloy is proved reliable for fabricating high performance deep-UV photovoltaic detectors. The method proposed in this paper can provide reference for the preparation of deep-UV photovoltaic detectors with high photoresponsivity and thermal stability in the future.
关键词： deep-UV,high temperature,photovoltaic,(AlGa)2O3,high photo-to-dark current ratio
更新于2025-09-11 14:15:04
-
Behavioural responses to a photovoltaic subretinal prosthesis implanted in non-human primates
摘要： Retinal dystrophies and age-related macular degeneration related to photoreceptor degeneration can cause blindness. In blind patients, although the electrical activation of the residual retinal circuit can provide useful artificial visual perception, the resolutions of current retinal prostheses have been limited either by large electrodes or small numbers of pixels. Here we report the evaluation, in three awake non-human primates, of a previously reported near-infrared-light-sensitive photovoltaic subretinal prosthesis. We show that multipixel stimulation of the prosthesis within radiation safety limits enabled eye tracking in the animals, that they responded to stimulations directed at the implant with repeated saccades and that the implant-induced responses were present two years after device implantation. Our findings pave the way for the clinical evaluation of the prosthesis in patients affected by dry atrophic age-related macular degeneration.
关键词： artificial visual perception,non-human primates,photovoltaic subretinal prosthesis,age-related macular degeneration,retinal prostheses
更新于2025-09-11 14:15:04