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Joint deployment of charging stations and photovoltaic power plants for electric vehicles
摘要： The focus of this study is to jointly design charging stations and photovoltaic (PV) power plants with time-dependent charging fee, to improve the management of the coupled transportation and power systems. We first propose an efficient and extended label-setting algorithm to solve the EV joint routing and charging problem that considers recharging amount choices at different stations and loop movement cases. Then, a variational inequality problem is formulated to model the equilibrium of EV traffic on transportation networks, and an optimal power flow model is proposed to model the power network flow with PV power plants and optimally serve the EV charging requirements. Based on the above models for describing system states, we then formulate a model to simultaneously design charging stations, PV plants, and time-dependent charging fee. A surrogate-based optimization (SBO) algorithm is adopted to solve the model. Numerical examples demonstrate that the proposed SBO algorithm performs well. Additionally, important insights concerning the infrastructure design and price management of the coupled transportation and power networks are derived accordingly.
关键词： Time-dependent pricing,PV power plants,Electric vehicles,Surrogate-based optimization,Charging stations
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) - Sensitivity of PV Plant Performance to Tracker Error
摘要： Photovoltaic (PV) power plants are financed – and later evaluated – based on a modeled energy prediction. However, any unaccounted-for losses or other model inaccuracies may cause plants to underperform expectation, resulting in large sums of lost revenue for plant owners. For example, while tracking systems have the potential to increase plant energy significantly over fixed tilt designs, any deviation from the optimum tracking angle can create large additional losses. This work investigates two real world case studies where tracking errors resulted in significant lost generation. Further modeling work uses the new electrical shading and time series tracking input features in PlantPredict to demonstrate the range of potential losses under tracker error scenarios for both CdTe and cSi various technologies.
关键词： energy loss,tracking errors,PV power plants,cSi,CdTe,Photovoltaic
更新于2025-09-19 17:13:59
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Novel methodology for detecting non-ideal operating conditions for grid-connected photovoltaic plants using Internet of Things architecture
摘要： The use of photovoltaic solar power generation is rising as worldwide energy demand increases. Therefore, reliability, safety, life cycle, and improved efficiency of photovoltaic plants have all become a major concern in research nowadays. In this context, monitoring systems are necessary to guarantee the required operating productivity and to avoid overpriced maintenance costs. This paper studies the non-ideal operating conditions for grid-connected photovoltaic plants and proposes an anomaly detection methodology that combines the advantages of the 2-sigma, short-window simple-moving average control charts with shading strength and irradiance transition parameters to detect early deviation in photovoltaic plant operational data. The key aspect of proposed methodology is that it requires neither historical data for model training procedure nor parameters from previous simulation. Only instantaneous meteorological and electrical parameters are required. The efficiency of the condition monitoring methodology has been validated through experimental results conducted in actual operating conditions. Results demonstrated that the proposed methodology is effective to identify non-ideal operating conditions for grid-connected photovoltaic plants, i.e., (i) normal operating condition, (ii) natural dynamic shading, (iii) artificial dynamic shading, and (iv) artificial static shading. Moreover, a low-cost and non-invasive internet-of-things-based embedded architecture is proposed to monitor photovoltaic plant operation in real-time.
关键词： Condition monitoring,Shading types,Non-ideal operating conditions,Anomaly detection,Grid-connected photovoltaic plants
更新于2025-09-16 10:30:52
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Key Parameter Identification and Optimization of Photovoltaic Power Plants Based on Genetic Algorithm
摘要： As the penetration rate of the photovoltaic power continues to grow, its impact on the stability of the power system becomes more considerable ever than before. However, due to the relatively low accuracy of the parameters, the traditional electromagnetic transient simulation used to assess the impact is biased. Therefore, it is of great importance to perform key parameter identification and optimization on a solar power plant containing many photovoltaic panels, which can avoid the problem of combination explosion. In this paper, a scheme of key parameter identification is proposed. Then, an optimization method based on genetic algorithm is also established to improve the accuracy. Simulation tests validate the effectiveness of the proposed method.
关键词： genetic algorithm,parameter identification,photovoltaic power plants,optimization
更新于2025-09-16 10:30:52
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AIP Conference Proceedings [Author(s) SolarPACES 2017: International Conference on Concentrating Solar Power and Chemical Energy Systems - Santiago, Chile (26–29 September 2017)] - Techno-economic optimization of molten salt solar tower plants
摘要： In this paper the results of a techno-economic analysis of improved and optimized molten salt solar tower plants (MSSTP plants) are presented. The potential improvements that were analyzed include different receiver designs, different designs of the HTF-system and plant control, increased molten salt temperatures (up to 640°C) and multi-tower systems. Detailed technological and economic models of the solar field, solar receiver and high temperature fluid system (HTF-system) were developed and used to find potential improvements compared to a reference plant based on Solar Two technology and up-to-date cost estimations. The annual yield model calculates the annual outputs and the LCOE of all variants. An improved external tubular receiver and improved HTF-system achieves a significant decrease of LCOE compared to the reference. This is caused by lower receiver cost as well as improvements of the HTF-system and plant operation strategy, significantly reducing the plant own consumption. A novel star receiver shows potential for further cost decrease. The cavity receiver concepts result in higher LCOE due to their high investment cost, despite achieving higher efficiencies. Increased molten salt temperatures seem possible with an adapted, closed loop HTF-system and achieve comparable results to the original improved system (with 565°C) under the given boundary conditions. In this analysis all multi tower systems show lower economic viability compared to single tower systems, caused by high additional cost for piping connections and higher cost of the receivers.
关键词： receiver designs,HTF-system,molten salt solar tower plants,plant control,techno-economic analysis,increased molten salt temperatures,multi-tower systems
更新于2025-09-16 10:30:52
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On the technologies empowering drones for intelligent monitoring of solar photovoltaic power plants
摘要： Monitoring of solar photovoltaic power plants is an essential task that could enable efficient operation and maintenance. Active control and regular maintenance will enhance the photovoltaic plant's output performance and helps in reasonable or better returns on the investments made. The process of monitoring is done by conducting manual inspections, but due to technological advancements, the manual checks were replaced by intelligent systems, centralized control, and monitoring systems, surveillance cameras, robotics, drones, etc. Drones are becoming more suitable for the solar industry due to a wide range of surveillance capability, long range inspection, efficient data logging capability, easy to control and access from the central level, etc. In this paper, the role of drones in solar photovoltaic power plants, and scope for enabling intelligence and automation in drones for the active monitoring and data logging is discussed. Various types drones and their configurations along with the dynamics are also considered. A study on the technologies behind the drone intelligence and automation were identified and discussed. From this study, it was found that Recognition Technologies (RT), Artificial Intelligence (AI), and Machine Learning (ML) could empower the drones and make the monitoring of large-scale solar power plants easier. This study could help the developers and researcher who are working on intelligent drones for specialist care of massive solar parks, unaccessible remote solar plants, etc.
关键词： Drones,solar power plants,intelligent drones,autonomous drones,monitoring of solar plants,drones in the solar industry
更新于2025-09-12 10:27:22
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Laser-induced breakdown spectroscopy as a promising tool in the elemental bioimaging of plant tissues
摘要： Laser-Induced Breakdown Spectroscopy (LIBS) is an optical analytical technique with a multi-element capability for element bioimaging in plants. During the years of LIBS development, the major application field has been in industry. However, during the last two decades, LIBS became a useful imaging tool in various biologic matrices, e.g. bones, mammals’ organs, and in the plant science. In this work, we present an overview of LIBS achievements in plant bioimaging which started in 2006. The progress in the assessment of spatial element distribution in plants is documented here with respect to the applications in phytotoxicity testing for the following reason: the information on the spatial distribution of elements can reveal a relationship between the exact location of an element and its toxic effect. This review discusses the state of the art of various elements’ bioimaging in plants using LIBS with a spatial resolution at micrometer scale.
关键词： crop plants,macronutrients,laser ablation,nanoparticles,element spatial distribution,micronutrients,2D-mapping,heavy metals,plants,model organisms,phytotoxicity,elemental imaging
更新于2025-09-12 10:27:22
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Numerical Study on Windbreaks with Different Porosity in Photovoltaic Power Plants
摘要： In recent years, more and more attention has been paid to clean energy. Large-scale photovoltaic power plants are increasing. Photovoltaic power generation will be destroyed at a high wind speed, affecting the efficiency of power generation. Based on the computational fluid dynamics technology and the use of porous media model, this paper uses Fluent to numerically analyze the windbreaks of photovoltaic power generation. The influence of the inlet wind speed and the porosity of the windbreaks on the differential pressure across the photovoltaic panels was studied. The results show that with the increase of wind speed, the differential pressure of the photovoltaic panel is also increasing; installing the windbreaks with a porosity of 0, the differential pressure of the PV panel decreases. In addition, the pressure drop of the photovoltaic panel can be reduced by 50%-68% due to the effect of the windbreaks at different wind speeds; the porosity of the windbreaks panel is the better at 0.25-0.5, compared with the windbreaks without installation, the differential pressure of the photovoltaic support bracket decreased by 18.75%-35.84%.
关键词： Porosity,Photovoltaic power plants,Windbreaks,Numerical analysis
更新于2025-09-12 10:27:22
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Performance analysis of a photovoltaics aided coal-fired power plant
摘要： In this article, integration of photovoltaics (PV) into a coal-fired power plant was proposed. The performance including economic analysis and environmental impact was conducted by a case study in the northwest area of China. The results show that the PV system can replace part of auxiliary power consumption using renewable electricity to reduce internal power consumption and the emissions. Due to the feature of the integration into a power plant, the curtailment of solar PV electricity does not occur compared to stand-alone PV system. The investment cost, operation and maintenance (O&M) expenditure were feasible compared with other PV power generation plants.
关键词： coal-fired power plants,auxiliary power consumption,photovoltaics
更新于2025-09-12 10:27:22
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[IEEE 2019 IEEE Energy Conversion Congress and Exposition (ECCE) - Baltimore, MD, USA (2019.9.29-2019.10.3)] 2019 IEEE Energy Conversion Congress and Exposition (ECCE) - Synchronous Frequency Support of Photovoltaic Power Plants with Inertia Emulation
摘要： Grid stability is one of the main concerns in renewable energies. The lack of inertia and their low capability to provide frequency support has created the need for implementing new control strategies to solve this problem. In current networks, frequency and voltage support are performed through synchronous generators, which provide an inherent grid support due to the inertia presented in their mechanical rotors. Based on the same concept, renewable energies based on power converters have introduced synchronous controllers to emulate the dynamic behavior of synchronous generators and provide voltage and frequency support. However, most synchronous control strategies integrate their controllers as an add-on firmware embedded in each power converter, without presenting a coordinated synchronous performance when several converters operate in a PV power plant. The aggregation of several power converters operating with a coordinated synchronous response would be advantageous in these cases, since they can provide a harmonic response with an automatic power distribution when grid support is required. This paper presents a synchronous control strategy for photovoltaic power plants, which manages several power converters as an aggregated synchronous system.
关键词： Grid frequency support,Photovoltaic Power Plants,Synchronous Power Control
更新于2025-09-12 10:27:22