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Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation
摘要： Accurate prediction of the generation capacity of photovoltaic systems is fundamental to ensuring the stability of the grid and to performing scheduling arrangements correctly. In view of the temporal defect and the local minimum problem of back-propagation neural network, a forecasting method of power generation based on long short-term memory-back-propagation is proposed. On this basis, the traditional prediction data set is improved. According to the three traditional methods listed in this article, we propose a fourth method to improve the traditional photovoltaic power station short-term power generation prediction. Compared with the traditional method, the long short-term memory-back-propagation neural network based on the improved data set has a lower prediction error. At the same time, a horizontal comparison with the multiple linear regression and the support vector machine shows that the long short-term memory-back-propagation method has several advantages. Based on the long short-term memory-back-propagation neural network, the short-term forecasting method proposed in this article for generating capacity of photovoltaic power stations will provide a basis for dispatching plan and optimizing operation of power grid.
关键词： Photovoltaic generators,artificial neural networks,long short-term memory,power forecasting,long short-term memory-back-propagation neural network
更新于2025-09-11 14:15:04
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Modified Search Strategies Assisted Crossover Whale Optimization Algorithm with Selection Operator for Parameter Extraction of Solar Photovoltaic Models
摘要： Extracting accurate values for involved unknown parameters of solar photovoltaic (PV) models is very important for modeling PV systems. In recent years, the use of metaheuristic algorithms for this problem tends to be more popular and vibrant due to their e?cacy in solving highly nonlinear multimodal optimization problems. The whale optimization algorithm (WOA) is a relatively new and competitive metaheuristic algorithm. In this paper, an improved variant of WOA referred to as MCSWOA, is proposed to the parameter extraction of PV models. In MCSWOA, three improved components are integrated together: (i) Two modi?ed search strategies named WOA/rand/1 and WOA/current-to-best/1 inspired by di?erential evolution are designed to balance the exploration and exploitation; (ii) a crossover operator based on the above modi?ed search strategies is introduced to meet the search-oriented requirements of di?erent dimensions; and (iii) a selection operator instead of the “generate-and-go” operator used in the original WOA is employed to prevent the population quality getting worse and thus to guarantee the consistency of evolutionary direction. The proposed MCSWOA is applied to ?ve PV types. Both single diode and double diode models are used to model these ?ve PV types. The good performance of MCSWOA is veri?ed by various algorithms.
关键词： metaheuristic,solar photovoltaic,whale optimization algorithm,parameter extraction
更新于2025-09-11 14:15:04
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Suppression strategy of short-term and long-term environmental disturbances for maritime photovoltaic system
摘要： The maritime photovoltaic system is easily affected by the special environmental disturbances from the ship and the sea, e.g., the partial and dynamic shadings when moved with a ship, the corrosion of photovoltaic module when continuously worked in high salinity oceanic environment. In this study, the optimal configuration of photovoltaic array installed on large ocean-going ship is developed, and a novel offline/online hybrid maximum power point tracking method is presented to suppress the short-term disturbance caused by the partial and dynamic shadings. Then, in order to dynamically track the corrosion of photovoltaic module and suppress the long-term disturbance, the dynamic knowledge-base with time-window is developed. Finally, the proposed methodology is verified by simulation experiments. Experimental results show that in the proposed configuration, location of the maximum power point is closely related to the area and degree of the shading, but is irrelevant to the distribution. Moreover, according to the experimental results, the operation data in the nearest 3 months to 1 year can be collected and employed to train the offline model, in order to obtain the best control performance. With the proposed configuration and control methodology, the environmental disturbances can be efficiently suppressed, the evaluated system can also obtain efficient and robust control performance under complex maritime environment.
关键词： Environmental disturbance,Maximum power point tracking,Maritime photovoltaic system,Green ship
更新于2025-09-11 14:15:04
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Optimization of Transparent Passivating Contact for Crystalline Silicon Solar Cells
摘要： A highly transparent front contact layer system for crystalline silicon (c-Si) solar cells is investigated and optimized. This contact system consists of a wet-chemically grown silicon tunnel oxide, a hydrogenated microcrystalline silicon carbide [SiO2/μc-SiC:H(n)] prepared by hot-wire chemical vapor deposition (HWCVD), and a sputter-deposited indium doped tin oxide. Because of the exclusive use of very high bandgap materials, this system is more transparent for the solar light than state of the art amorphous (a-Si:H) or polycrystalline silicon contacts. By investigating the electrical conductivity of the μc-SiC:H(n) and the influence of the hot-wire filament temperature on the contact properties, we find that the electrical conductivity of μc-SiC:H(n) can be increased by 12 orders of magnitude to a maximum of 0.9 S/cm due to an increased doping density and crystallite size. This optimization of the electrical conductivity leads to a strong decrease in contact resistivity. Applying this SiO2/μc-SiC:H(n) transparent passivating front side contact to crystalline solar cells with an a-Si:H/c-Si heterojunction back contact we achieve a maximum power conversion efficiency of 21.6% and a short-circuit current density of 39.6 mA/cm2. All devices show superior quantum efficiency in the short wavelength region compared to the reference cells with a-Si:H/c-Si heterojunction front contacts. Furthermore, these transparent passivating contacts operate without any post processing treatments, e.g., forming gas annealing or high-temperature recrystallization.
关键词： solar cell,tunneling,silicon,silicon carbide,transparent passivating contact (TPC),selective contact,photovoltaic cells,Passivating contact
更新于2025-09-11 14:15:04
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Extended Reactive Power Exchange With Faulty cells in Grid tied Cascaded H-Bridge converter for Solar PhotoVoltaic Application
摘要： Fault tolerant operation is a key feature of grid tied PV fed Cascaded H-Bridge (CHB) converter, where the converter operates continuously with faulty bypassed cells. After bypassing the faulty cells, the number of healthy cells decreases, the available dc link voltage reduces and active power among the phases become unequal. As a result, the converter produces unbalanced and distorted grid currents. Moreover, the maximum reactive power exchanged with the grid gets reduced with the available DC link voltage. This paper injection proposes a novel zero sequence voltage technique for balancing the grid currents and preventing over modulation in each cell of the converter. The proposed technique extends the reactive power capability of the converter during post fault condition. Additionally, it also helps in equal active and reactive power flow in each phase of the converter. A new PWM clamping strategy is proposed in this paper to implement the zero sequence voltage addition in the converter. The proposed concept is verified through computer simulation and experimental results.
关键词： cascaded H-bridge (CHB) multilevel converters,PWM clamping strategy,solar PhotoVoltaic (PV),fault tolerance,reactive power,Ancillary services
更新于2025-09-11 14:15:04
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Highly Efficient and Stable Perovskite Solar Cells Using an Effective Chelate‐Assisted Defect Passivation Strategy
摘要： Due to the sensitivity of the perovskite solar cells to the subtle changes under the ambient atmosphere conditions, many problems have aroused great attention such as collapse of the perovskite structure and efficiency quickly drops. Among them, internal defect also is a big obstacle for high-quality poly-crystalline perovskites, at present it is still difficult to control the density of the trapping sites. Herein, we use a bidentate chelating agent, thenoyltrifluoroacetone (ttfa), to effectively controls the crystallization kinetics, grain sizes and crystal defect of Cs/MA/FA perovskite materials by a nucleation and growth process of perovskite crystals. Realization of crystalline-state-tuning during crystallization process obtain better quality perovskite thin film, with no additional operation that suit the needs of modern industrial production and management, therefore this is an industry produce oriented method. The chelating agent can effectively passivate the defects in perovskite films, leading to a low defect density and a long charge carrier lifetime. As a result, the ttfa-passivated perovskite solar cell demonstrates a high PCE of 19.70% with superior stability retaining over 64% of the initial PCE after two weeks unencapsulated storage in an adverse atmosphere with about 50% relative humidity.
关键词： chelating agent,perovskite,stability,photovoltaic
更新于2025-09-11 14:15:04
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[IEEE 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Chengdu, China (2019.5.21-2019.5.24)] 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Emergency Control for Improving Transient Stability of Integrated Systems with Photovoltaic and Hydropower Stations Based on EEAC Theory
摘要： Integrated systems with photovoltaic (PV) and hydropower stations can make full use of energy. However, the system may be prone to transient instability due to the weak grid and low inertia characteristic of PV stations. This paper presents an emergency control method for transient stability enhancement of the integrated system with PV and hydropower stations based on the extended equal area criterion (EEAC) theory. Firstly, when the system is disturbed, it can be equivalent to a single machine infinite system. Subsequently, the equivalent electromagnetic power curve is fitted considering the influence of PV stations based on the least square method. Moreover, the equal area criterion is used to determine the control quantity of generator tripping. Finally, simulation results provided by BPA are performed to validate the effectiveness of the proposed method.
关键词： generator tripping,extended equal area criterion (EEAC),photovoltaic,hydro power,Transient stability
更新于2025-09-11 14:15:04
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An Integrated Semi-Double Stage based Multilevel Inverter with Voltage Boosting Scheme for Photovoltaic Systems
摘要： This paper proposes a single-phase, seven-level, transformerless inverter, employing a semi-double stage based conversion technique, which is particularly suitable for PV applications. The proposed configuration achieves voltage boosting using a non-isolated interleaved buck-boost converter, which is fused with the inverter configuration through two switched capacitors (SC). The interleaved front-end boost stage is capable of achieving a voltage gain of three while resulting in reduced peak current stress on the switching devices. In this topology, a part of the load power is transferred directly from the PV source, while the other part is transferred through the SCs. The proposed topology and the associated PWM technique are capable of reducing the leakage current by isolating the terminals of the PV source during the freewheeling state. This paper also presents a thorough analysis of the stray capacitor voltage and the common-mode voltage (CMV). These analyses reveal that the high-switching frequency transitions are eliminated in both of these waveforms. Furthermore, the proposed topology results in the reduction of the low-frequency transitions in the stray capacitor voltage and the CMV, which results in further reduction of the leakage current. The simulation and experimental results are in agreement with the mathematical analysis of the proposed inverter.
关键词： Leakage current minimization,Pulse width modulation inverters,Multilevel-inverter,Voltage boosting,Semi-double stage system,Photovoltaic systems
更新于2025-09-11 14:15:04
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Systematic Analysis and Design of Water Networks With Solar Photovoltaic Energy
摘要： The methodology presented in this article tries to make a water-energy auditing so as to design the same water network characteristics but being supplied by photovoltaic (PV). We identify which data would be required to define the most effective process to follow in order to reach better water and energy consumption efficiency rates. An analytical approach that deals with the optimal sizing of a solar pumping system in direct current microgrid is proposed. This means the combination among a solar PVs system, a storage system, and a converter system that deals with the energy harvesting and charging the batteries used for supporting the pumping water system. The methodology has been validated by two real pumping systems of Zarautz distribution network (Basque Country region). It has been modeled and tested under four scenarios. The results of the simulations carried out have clearly demonstrated both the feasibility and the savings achieved, in terms of the environmental and economic assessment. This will help the water distribution managers to take more informed decisions and design cost-effective strategies while contributing with more sustainable cities.
关键词： solar photovoltaic (PV) grid off systems,Efficient water supply systems,model-based design methodology,water and energy nexus
更新于2025-09-11 14:15:04
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Intelligent classification of silicon photovoltaic cell defects based on eddy current thermography and convolution neural network
摘要： Defects the production process of silicon photovoltaic (Si-PV) cells are urgently needed to be detected due to their serious impact on the normal generation of PV system. In view of the shortcomings such as low defect efficiency, few detection data and high detection error rate in the existing industrial production line, the main research purpose of this study is to complete an intelligent classification method for efficient and innovative defect detection for Si-PV cells and modules. The purpose is to improve the detection efficiency of Si-PV cell, to ensure the safety and reliability of Si-PV cell production process, to achieve large number of Si-PV cell defects detection and classification. Firstly, the Eddy Current Thermography (ECT) system of Si-PV cells was established. Secondly, Principal Component Analysis (PCA), Independent Component Analysis (ICA) and Non-negative Matrix Factorization (NMF) algorithms are compared for thermography sequences processing. Thirdly, LeNet-5, VGG-16 and GoogleNet models are compared for Si-PV cell defects classification. Finally, the results showed that the proposed method have successful application in Si-PV cell defects detection and classification.
关键词： Nondestructive testing & evaluation,Defect feature extraction,Defect classification,Convolution neural network,Silicon photovoltaic cell,Eddy current thermography
更新于2025-09-11 14:15:04