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Power Quality Management of PV Power Plant with Transformer Integrated Filtering Method
摘要： This paper presents a new solution of power quality management for the photovoltaic (PV) power plant with the transformer integrated filtering method. The innovation of the PV power plant is that it contains two-stage filtering station, which consists of a box-type transformer with filter and a 110 kV grid-connected transformer based on inductive filtering method. The filtering reactor can be integrated into the box-type transformer as a decoupled winding, so that the modular design of the box-type transformer and the passive filter are realized. Inductive filtering method applied transformer not only improves the power quality at the point of common coupling, but dampens the harmonic resonance between the passive filter and grid. The hierarchical structure of the PV power plant is introduced firstly. Then, the equivalent circuit model and the mathematical model of the primary filtering stations are established, and secondary respectively. Moreover, the influence of the weak coupling of integrated reactor on the filtering performance is analyzed. The antijamming capabilities of the inductive filtering method and the traditional filtering method are compared under the condition of parameter disturbance. At last, the site tests of the PV power plant with transformer integrated filtering method are made, which show that the PV grid-connected system comprised of the two-stage filtering station has the characteristics of low harmonic emission, high power factor and stable operation.
关键词： inductive filtering,Photovoltaic plant,integrated reactor,power quality
更新于2025-09-23 15:21:21
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A non-linear auto-regressive exogenous method to forecast the photovoltaic power output
摘要： This paper deal about the prediction of SunModule SW 175 monocrystalline photovoltaic (PV) module power output installed in Belbis, Egypt. The proposes prediction model forecast one month using a non-linear auto-regressive exogenous method, based in neural network times series and Levenberg-Marquardt training algorithm. NARX neural network are powerful to solve several problems and popular in nonlinear control applications. The NARX model is choosing for rapid training and convergence speed and strong representativeness and is characterized by favourable dynamics and resistance to interference. Besides, the exactitude of NARX method has examined as a function of training data sets, error de?nitions relying on experimental data of a PV framework. The predicted power acquired by the NARX method gives a high correlativity with the experimental data and comparatively low errors. The forecast of output power obtained with the NARX method are compared with neural network and experimentally measured data. The obtained result is very accurate in R2 coe?cient 99.47% and MSE = 20.5753% compared to NARX-Bayesian R2 = 99.47 and RMSE = 21.71%. Generally, the execution and exactness of the results are exceedingly relying upon the climate condition, and the R2 took a low value if the user data in series analysis are not very accurate.
关键词： Power output,Times Series Analysis,Forecasting method,Photovoltaic plant,NARX
更新于2025-09-23 15:19:57
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Potential of floating photovoltaic plant in a tropical reservoir in Brazil
摘要： The increasing global demand for electricity has led to a significant increase in the search for low-impact alternative sources, with solar photovoltaic being identified as one of the most feasible options. However, photovoltaic power plants require large ground areas, which represent a major constraint. If the panels are installed on water bodies, this restriction may be avoided. In this work, a simulation was performed to assess the potential of floating photovoltaic power generation in the tropical Gavi~ao reservoir, located in the Northeast of Brazil. A payback analysis indicated that the investment in construction of the system is fully recovered in eight years, and that water losses due to evaporation can be reduced by approximately 2.6 (cid:3) 106 m3/year, sufficient to supply roughly 50,000 people.
关键词： surface reservoir,floating photovoltaic plant,renewable energy
更新于2025-09-19 17:13:59
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Effect of Irradiance Measurement Sensors on the Performance Ratio of Photovoltaic Power Plant Under Real Operating Conditions: An Experimental Assessment in Turkey
摘要： The performance analysis of photovoltaic (PV) plants plays an important role in making investment decisions, creating more efficient designs, and in the operation and maintenance decisions in new plants. In addition, performance analysis provides a way to identify real-time operational problems and allows comparisons among different PV plants. Performance of PV plants can be indexed with many parameters, but service providers are giving energy guarantees according to their performance ratio (PR). There are many factors that affect PR, such as irradiation, temperature, wind speed, humidity and soiling. But, the most important factors affecting PR are irradiation and temperature. Hence, both the irradiation and the temperature must be measured correctly. Solar irradiation is usually measured with a pyranometer or reference cell. However, there are differences between the obtained data from these two sensors, which affects the PR significantly. In this study, the PR of an MW PV plant installed in Turkey was investigated. Two types of irradiation sensors (pyranometer and reference cells) and PVGIS program were used. The data were collected every 5 min during 1 year. The data passed through quality control and filtered process and some improper values were removed from the row data set. In addition, new data were written instead of the missing data. PR was calculated by using conventional and corrected method. As a result, the average annual PR is determined to be 81.05%, 79.04% and 78.96% and the corrected PR is determined to be 83.69%, 82.48% and 80.87% using the reference cell, pyranometer and PVGIS program, respectively.
关键词： Solar energy,Uncertainty of measurement sensors,Irradiance sensor,Corrected PR,Performance ratio (PR),Photovoltaic plant
更新于2025-09-16 10:30:52
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[IEEE 2019 International conference on Creative Business for Smart and Sustainable Growth (CREBUS) - Sandanski, Bulgaria (2019.3.18-2019.3.21)] 2019 International Conference on Creative Business for Smart and Sustainable Growth (CREBUS) - Integration of a Photovoltaic Plant to a Building Management System
摘要： The aim of this paper is to integrate a hybrid PV plant as an alternative power supply of many DC and AC control devices included in the building management system. Energy efficiency is also improved. Solar energy is converted into electricity using solar modules mounted on the building roof.
关键词： building management system,photovoltaic plant
更新于2025-09-12 10:27:22
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[IEEE 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Gramado, Brazil (2019.9.15-2019.9.18)] 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Industry 4.0 approach aligned with the challenges of grid-connected photovoltaic systems
摘要： Technological innovations applied to photovoltaic (PV) energy are important for improving the process of conversion and management of energy, being one of the renewable energies challenges. In this occasion, the phenomenon called Industry 4.0 encourages new concepts and methods of work for several areas integrating automation systems, cyber-physical systems, and the internet, facilitating innovations, such as using smarts grids. Thus, this paper aims to show the challenges for PV systems and brings the union of possible solutions applied in a photovoltaic plant with an approach to Industry 4.0. To do so was analyzed the main challenges for each component and proposed a PV system in software PV*SOL with power optimizers, inverter, and PV modules cleaning system. Subsequently, the proposed system is compared with other scenarios. An analysis was made in different soiling losses in PV modules, i.e., situations without the PV cleaning system, and tested the application of Industry 4.0 elements in conventional systems with and without solar trackers. As a result, the proposed scenario generated more energy than the conventional PV system. In situations, without carrying out cleaning in the PV modules the power generation was lower, even with a better global optimization performance due to the power optimizers that mitigates part of the energy losses. Therefore, Industry 4.0 can provide connectivity, visibility, predictability, and adaptability improving better control over the variables involved in PV systems.
关键词： Photovoltaic Plant,Photovoltaic System,Industry 4.0,Photovoltaic
更新于2025-09-11 14:15:04
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Assessment of 50?kWp rooftop solar photovoltaic plant at The ICFAI University, Jaipur: A case study
摘要： Currently, India is espousing nonconventional energy sources at an express rate owing to concerns about climate change, emission of harmful greenhouse gases (GHG), and exhausting conventional energy sources. The solar photovoltaic (SPV) plants are, hence, expected to play a noteworthy role to meet energy security and sustainability goals. Contemporary studies reveal substantial ecological concerns associated with installing the ground mounted SPV plants in urban locations. Further observations depict that aforementioned plants need additional land, transmission, and distribution infrastructures. Consequently, rooftop SPV plants are the best solution to produce energy in urban locations, owing to the availability of a large number of empty rooftop spaces with least capacity expenditure. The present article discusses the techno-economic and ecological aspects of a 50 kWp rooftop SPV plant installed at ICFAI University, Jaipur. The plant has produced around 64.149 MWh in the year 2017. The technical assessment focuses on the effects of the meteorological parameters upon energy generation factors. The annual average final yield, reference yield, capacity utilization factor, and performance ratio found to be 106.9 kWh/kWp/month, 149.7 kWh/kWp/month, 14.64 and 70%, respectively. The economic parameters like net present value, internal rate of return, profitability index, and payback period are computed with 0–50% subsidy rates, which supports the financial viability of the plant. The plant contributed significantly to reducing GHG emissions by mitigating 102 t CO2, 128 kg SO2, 268 kg NOx, and 7,033 kg ash in the year 2017 as evident from the ecological investigation.
关键词： rooftop solar photovoltaic plant,GHG emissions,meteorological parameters,pay back period,capacity utilization factor,performance ratio
更新于2025-09-11 14:15:04