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Increasing the efficiency of a hybrid photoelectric system of a local object with a storage battery using forecast

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The implementation of a photovoltaic system with a storage battery to meet the needs of a local object and the ability to generate energy into the grid during peak hours is considered. The principles of implementation of the planned generation of energy into the grid during peak hours with a decrease in electricity consumption from the grid have been substantiated. In this case, the setting of the SB degree charge is carried out according to the forecast of the generation of the photovoltaic battery for the next day with a preliminary estimate of the generation power to the grid. The updated value of the generation power to the grid is determined according to the forecast data by the beginning of the morning peak, taking into account the actual generation power of the photovoltaic battery. Subsequently, at the intervals of discreteness of the forecast, the value of the generation power into the grid is corrected taking into account the actual generation power of the photovoltaic battery, the load and the degree of storage battery charge. The storage battery charge mode is set taking into account the forecast data at the end of the morning peak. The corresponding algorithm of the system functioning was developed. Simulation of energy processes in the system for a daily cycle of operation with an estimation of the cost of paying for electricity has been carried out. In this case, the archived weather data were used. It is shown that with the adopted system parameters, this solution allows providing the power generation to the grid in the evening peak of 19% to the load power, and in the morning peak up to 200%. Reducing the cost of payment consumed by a local object from the electricity grid is at one tariff rate in the summer period from 1.6 times to 14 times, in winter from 1.1 to 1.55.
Rocznik
Strony
117--126
Opis fizyczny
Bibliogr. 14 poz., rys., tab., wykr., wzory
Twórcy
  • Kyiv National University of Technologies and Design, 2 Nemyrovych-Danchenko Str., Kyiv, 01011, Ukraine
  • Kyiv National University of Technologies and Design, 2 Nemyrovych-Danchenko Str., Kyiv, 01011, Ukraine
  • Kyiv National University of Technologies and Design, 2 Nemyrovych-Danchenko Str., Kyiv, 01011, Ukraine
  • Kyiv National University of Technologies and Design, 2 Nemyrovych-Danchenko Str., Kyiv, 01011, Ukraine
Bibliografia
  • [1] Conext SW. Hybrid Inverter, available: https://www.se.com/ww/en/product-range-presentation/61645-conext-sw/.
  • [2] ABB solar inverters. Product manual REACT-3.6/4.6-TL (from 3.6 to 4.6 kW), available: www.abb.com/solarinverters.
  • [3] Guerrero-Martinez M.A., Milanes-Montero M.I., Barrero-Gonzalez F., Miñambres-Marcos V.M., Romero-Cadaval E., Gonzalez-Romera E., A Smart Power Electronic Multiconverter for the Residential Sector, Sensors, 2017, 17(6), 1217, doi:10.3390/s17061217.
  • [4] Roncero-Clemente C., González-Romera E., Barrero-González F., Milanés-Montero M.I., Romero-Cadaval E., Power-flow-based Secondary Control for Autonomous Droop-controlled AC Nanogrids with Peer-to-Peer Energy Trading, in IEEE Access, Vol. 9, 2021, pp. 22339-22350, doi: 10.1109/ACCESS.2021.3056451.
  • [5] Shavelkin A.A., Gerlici J., Shvedchykova І.О., Kravchenko K., Kruhliak H.V., Management of power consumption in a photovoltaic system with a storage battery connected to the network with multi-zone electricity pricing to supply the local facility own needs, Electrical Engineering and Electromechanics, 2021, No. 2, pp. 36-42, doi: https://doi.org/10.20998/2074-272X.2021.2.
  • [6] Shavolkin O., Shvedchykova I., Improvement of the Three-Phase Multifunctional Converter of the Photoelectric System with a Storage Battery for a Local Object with Connection to a Grid, Proceedings of 2020 IEEE Problems of Automated Electrodrive, Theory and Practice (PAEP), Kremenchuk, Ukraine 2020, pp. 1-6, doi: 10.1109/PAEP49887.2020.9240789.
  • [7] Forecast. Solar, available: https://forecast.solar/.
  • [8] SolarCast - an open web service for predicting solar power generation in smart homes, Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, November 2014, pp. 174-175, https://doi.org/10.1145/2674061.2675020.
  • [9] Shavolkin O., Shvedchykova I., Jasim J.M.J., Improved control of energy consumption by a photovoltaic system equipped with a storage device to meet the needs of a local facility, Eastern-European Journal of Enterprise Technologies, 2021, 2 (8 (110)), pp. 6-15, doi: https://doi.org/10.15587/1729-4061.2021.228941.
  • [10] Shavolkin O., Shvedchykova I., Improvement of the multifunctional converter of the photoelectric system with a storage battery for a local object with connection to a grid, Proceedings of 2020 IEEE KhPI Week on Advanced Technology (KhPIWeek), Kharkiv, Ukraine 2020, pp. 287-292, doi: 10.1109/KhPIWeek51551.2020.9250096.
  • [11] Traore A., Taylor A., Zohdy M.A., Peng F.Z., Modeling and Simulation of a Hybrid Energy Storage System for Residential Grid-Tied Solar Microgrid Systems, Journal of Power and Energy Engineering, 2017, No. 5, pp. 28-39, https://doi.org/10.4236/jpee.2017.55003.
  • [12] Sotnyk I.M., Zavdovyeva Y.M., Zavdovyev O.I., Multi-rate Tariffs in the Management of Electricity Demand, Mechanism of Economic Regulation, 2014, No. 2, pр. 106-113.
  • [13] Photovoltaic geographical information system, available: https://re.jrc.ec.europa.eu/pvg_tools/en/tools.html#SA.
  • [14] OPzV12-100 (12V100Ah) HENGYANG RITAR POWER CO., LTD, available: www.ritarpower.com.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0cb625a4-9485-4ed9-ae33-b55d46255902
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