Abstract
This article presents the results of research on the influence of photovoltaic stations on the quality of electricity in low-voltage networks. The use of hybrid electric networks with combination of AC and DC is proposed. We proposed two main stages of the survey before changing the configuration of the electricity network: Forecasting electricity generation by a photovoltaic power station with monitoring of energy parameters and using power quality analyzers to control several indicators. On the basis of the obtained researches it is proposed to make the analysis on indicators total harmonious distortion and reactive capacity.
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
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References
Batsala, Ya.V., Hlad, I.V., Yaremak, I.I., Kiianiuk, O.I.: Mathematical model for forecasting the process of electric power generation by photoelectric stations Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu (1), 111–116 (2021). https://doi.org/10.33271/nvngu/2021-1/111
Solcast, 2022. Global solar irradiance data and PV system power output data. URL https://solcast.com/
Hlad, I.V., Batsala, Ya.V.: Influence of solar power plants on low-voltage distribution networks. Sci. J. “Energy: Econ. Technol. Ecol.” (3 (49)), 82–86 (2017)
Hlad, I.V., Batsala, Ya.V.: Experimental tests asymmetric mode in the single-phase network of low power generation solar power. Oil and Gas Power Eng. (1), 123–131 (2017)
Boris, B., Volodymyr, K., Maryna, N.: The intensity of solar radiation forecasting based on artificial neural networks. In: V International Scientific-Technical Conference Actual Problems of Renewable Energy, Construction and Environmental Engineering, 3–5 June 2021, Kielce, Poland, pp. 19–21 (2021)
Kuievda, I., Baliuta, S., Zinkevich, P., Stoliarov, O.: Forecasting the electricity generation of photovoltaic plants. In: V International Scientific-Technical Conference Actual Problems of Renewable Energy, Construction and Environmental Engineering, 3–5 June 2021, Kielce, Poland, pp. 37–38 (2021)
Ahsan, S.M., Khan, H.A., Hussain, A., Tariq, S., Zaffar, N.A.: Harmonic analysis of grid-connected solar PV systems with nonlinear household loads in low-voltage distribution networks. Sustainability 13, 3709 (2021). https://doi.org/10.3390/su13073709
Batsala, Y., Hlad, I., Yaremak, I.: Forecasting day-ahead of power generation from photovoltaic stations and use weather apps. J. New Technol. Environ. Sci. (4), 143–149. https://doi.org/10.53412/jntes-2021-4-3
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Batsala, Y., Hlad, I. (2023). Power Quality Issues of Photovoltaic Stations in Electric Grids and Control of Main Parameters Electromagnetic Compatibility. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. https://doi.org/10.1007/978-3-031-35170-9_25
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DOI: https://doi.org/10.1007/978-3-031-35170-9_25
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