The Efficiency of Heterostructure Photovoltaic Modules in the Territory of Russia and Adequacy of the Procedure for Selecting Protective Devices in Their Circuits
DOI:
https://doi.org/10.24160/1993-6982-2021-6-49-58Keywords:
short circuit current, photovoltaic module, protective devices, solar power plant, renewable energy sourcesAbstract
The aim of this study was to estimate the efficiency of photovoltaic modules (PVM) used at solar power plants (SPP) in the Russian Federation territory and to analyze how adequate the procedure adopted for selecting protective devices in the PVM circuits is.
In carrying out the study, a solar power plant analysis model developed in the PVSyst software environment using the SolarGIS weather database was used.
The currently effective State Standard GOST R 56978-2016 (IEC/TS 62548: 2013): Photovoltaic Arrays. Specifications, which stipulates the procedure for selecting protective devices in the PVM circuits, is analyzed for sufficiency of the considered in it factors influencing the levels of currents in these circuits.
Based on the modeling results, the values of the specific generated power were obtained, and the capacity utilization factor (CUF) values of SPPs were calculated for various regions of Russia.
The data obtained can be used in performing the feasibility studies of constructing solar power plants in the Russian Federation territory, including those to be used for the consumers own needs. This data may also be needed in elaborating/updating the methodology for selecting protective devices in the PVM circuits.
A conclusion can be drawn based on the obtained study results that the PVM operation features high efficiency in the Russian Federation territory. There is also a need to develop a procedure for selecting protective devices in the PVM circuits that would take into account the influence of insolation level, temperature and degradation of modules on the levels of short circuit currents in their circuits.
References
1. IEA PVPS. Trends in Photovoltaic Applications 2020 [Электрон. ресурс] www.iea-pvps.org/wp-content/uploads/2020/11/IEA_PVPS_Trends_Report_2020-1.pdf (дата обращения 03.12.2020).
2. World Nuclear Performance Rep. 2019 [Электрон. ресурс] www.world-nuclear.org/getmedia/d77ef8a1-b720-44aa-9b87-abf09f474b43/performance-report-2019.pdf.aspx (дата обращения 01.11.2020).
3. Solar Energy Industries Association [Офиц. сайт] www.seia.org/solar-industry-research-data (дата обращения 05.01.2021).
4. IEA. Installed Power Generation Capacity by Source in the Stated Policies Scenario, 2000—2040 [Электрон. ресурс] www.iea.org/data-and-statistics/charts/installed-power-generation-capacity-by-source-in-the-stated-policies-scenario-2000-2040 (дата обращения 10.10.2020).
5. IEA. Global Solar PV and Wind Power Capacity Additions, 2010—2020 [Электрон. ресурс] www.iea.org/data-and-statistics/charts/global-solar-pv-and-wind-power-capacity-additions-2010-2020e (дата обращения 15.10.2020).
6. IEA. Renewables 2020 [Электрон. ресурс] /www.iea.org/reports/renewables-2020 (дата обращения 10.01.2021).
7. IRENA. Final Renewable Energy Consumption 2020. International Renewable Energy Agency [Электрон. ресурс] www.irena.org/Statistics/View-Data-by-Topic/Renewable-Energy-Balances/Final-Renewable-Energy-Consumption (дата обращения 11.12.2020).
8. IRENA. Solar Costs 2020. [Электрон. ресурс] www.irena.org/Statistics/View-Data-by-Topic/Costs/Solar-Costs (дата обращения 02.05.2021).
9. Годовой отчет о деятельности ассоциации «НП Совет рынка» за 2018 г. [Электрон. ресурс] www.np-sr.ru/sites/default/files/go_2018_god_.pdf (дата обращения 15.10.2020).
10. SolarGIS [Офиц. сайт] www.solargis.com (дата обращения 15.11.2020).
11. Recent Facts about Photovoltaics in Germany [Электрон. ресурс] www.ise.fraunhofer.de/en/publications/studies/recent-facts-about-pv-in-germany.html (дата обращения 15.03.2021)
12. Jäger-Waldau A. PV Status Rep. Luxembourg: Office of the European Union, 2019.
13. Бессель В.В., Кучеров В.Г., Мингалеева Р.Д. Изучение солнечных фотоэлектрических элементов. М.: Изд. центр РГУ нефти и газа им. И.М. Губкина, 2016.
14. Davarifar M., Rabhi A., El Hajjaji A. Comprehensive Modulation and Classification of Faults and Analysis Their Effect in DC Side of Photovoltaic System // Energy and Power Eng. 2013. V. 5. Pp. 230—236.
15. Hariharan R., Chakkarapani M., Saravana Ilango G., Nagamani C. A Method to Detect Photovoltaic Array Faults and Partial Shading in PV Systems // IEEE J. Photovoltaics. 2016. V. 6. No. 5. Pp. 1278—1285.
16. Какурина Н.А., Какурин Ю.Б., Курсай Д.Е., Осипов Н.А. Исследование электрофизических характеристик солнечной панели с помощью компьютеризированного измерительного стенда // Инженерный вестник Дона. 2016. № 3(42). С. 1—10.
17. Dash S. e. a. A Comprehensive Assessment of Maximum Power Point Tracking Techniques under Uniform and Non-uniform Irradiance and its Impact on photovoltaic Systems: a Review // J. Renewable and Sustainable Energy. 2015. V. 7(6). P. 063113.
18. Haber I., Farkas I. Combining CFD Simulations with Blockoriented Heatflow-network Model for Prediction of Photovoltaic Energy-production // J. Physics: Conf. Series. 2011. V. 268(1). P. 012008.
19. Vergura S.A Complete and Simplified Datasheet-Based Model of PV Cells in Variable Environmental Conditions for Circuit Simulation // Energies. 2016. V. 9(5). Pp. 326—337.
20. Alam M.K., Khan F., Johnson J., Flicker J. A Comprehensive Review of Catastrophic Faults in PV Arrays: Types, Detection, and Mitigation Techniques // IEEE J. Photovoltaics. 2015. V. 5. No. 3. Pp. 982—997.
---
Для цитирования: Монаков Ю.В., Шарапов С.А., Середкин Д.Ю. Эффективность гетероструктурных фотоэлектрических модулей на территории России и корректность методики выбора защитных аппаратов в их цепях // Вестник МЭИ. 2021. № 6. С. 49—00. DOI: 10.24160/1993-6982-2021-6-49-58
#
1. IEA PVPS. Trends in Photovoltaic Applications 2020 [Elektron. Resurs] www.iea-pvps.org/wp-content/uploads/2020/11/IEA_PVPS_Trends_Report_2020-1.pdf (Data Obrashcheniya 03.12.2020).
2. World Nuclear Performance Rep. 2019 [Elektron. Resurs] www.world-nuclear.org/getmedia/d77ef8a1-b720-44aa-9b87-abf09f474b43/performance-report-2019.pdf.aspx (Data Obrashcheniya 01.11.2020).
3. Solar Energy Industries Association [Ofits. Sayt] www.seia.org/solar-industry-research-data (Data Obrashcheniya 05.01.2021).
4. IEA. Installed Power Generation Capacity by Source in the Stated Policies Scenario, 2000—2040 [Elektron. Resurs] www.iea.org/data-and-statistics/charts/installed-power-generation-capacity-by-source-in-the-stated-policies-scenario-2000-2040 (Data Obrashcheniya 10.10.2020).
5. IEA. Global Solar PV and Wind Power Capacity Additions, 2010—2020 [Elektron. Resurs] www.iea.org/data-and-statistics/charts/global-solar-pv-and-wind-power-capacity-additions-2010-2020e (data Obrashcheniya 15.10.2020).
6. IEA. Renewables 2020 [Elektron. Resurs] /www.iea.org/reports/renewables-2020 (Data Obrashcheniya 10.01.2021).
7. IRENA. Final Renewable Energy Consumption 2020. International Renewable Energy Agency [Elektron. Resurs] www.irena.org/Statistics/View-Data-by-Topic/Renewable-Energy-Balances/Final-Renewable-Energy-Consumption (Data Obrashcheniya 11.12.2020).
8. IRENA. Solar Costs 2020. [Elektron. Resurs] www.irena.org/Statistics/View-Data-by-Topic/Costs/Solar-Costs (Data Obrashcheniya 02.05.2021).
9. Godovoy Otchet o Deyatel'nosti Assotsiatsii «NP Sovet Rynka» za 2018 g. [Elektron. Resurs] www.np-sr.ru/sites/default/files/go_2018_god_.pdf (Data Obrashcheniya 15.10.2020). (in Russian).
10. SolarGIS [Ofits. Sayt] www.solargis.com (Data Obrashcheniya 15.11.2020).
11. Recent Facts about Photovoltaics in Germany [Elektron. Resurs] www.ise.fraunhofer.de/en/publications/studies/recent-facts-about-pv-in-germany.html (Data Obrashcheniya 15.03.2021)
12. Jäger-Waldau A. PV Status Rep. Luxembourg: Office of the European Union, 2019.
13. Bessel' V.V., Kucherov V.G., Mingaleeva R.D. Izuchenie solnechnykh Fotoelektricheskikh Elementov. M.: Izd. Tsentr RGU Nefti i Gaza im. I.M. Gubkina, 2016. (in Russian).
14. Davarifar M., Rabhi A., El Hajjaji A. Comprehensive Modulation and Classification of Faults and Analysis Their Effect in DC Side of Photovoltaic System. Energy and Power Eng. 2013;5:230—236.
15. Hariharan R., Chakkarapani M., Saravana Ilango G., Nagamani C. A Method to Detect Photovoltaic Array Faults and Partial Shading in PV Systems. IEEE J. Photovoltaics. 2016;6;5:1278—1285.
16. Kakurina N.A., Kakurin Yu.B., Kursay D.E., Osipov N.A. Issledovanie Elektrofizicheskikh Kharakteristik Solnechnoy Paneli s Pomoshch'yu Komp'yuterizirovannogo Izmeritel'nogo Stenda. Inzhenernyy Vestnik Dona. 2016;3(42):1—10. (in Russian).
17. Dash S. e. a. A Comprehensive Assessment of Maximum Power Point Tracking Techniques under Uniform and Non-uniform Irradiance and its Impact on photovoltaic Systems: a Review. J. Renewable and Sustainable Energy. 2015’7(6):063113.
18. Haber I., Farkas I. Combining CFD Simulations with Blockoriented Heatflow-network Model for Prediction of Photovoltaic Energy-production. J. Physics: Conf. Series. 2011.268(1):012008.
19. Vergura S.A Complete and Simplified Datasheet-Based Model of PV Cells in Variable Environmental Conditions for Circuit Simulation. Energies. 2016;9(5):326—337.
20. Alam M.K., Khan F., Johnson J., Flicker J. A Comprehensive Review of Catastrophic Faults in PV Arrays: Types, Detection, and Mitigation Techniques. IEEE J. Photovoltaics. 2015;5;3:982—997.
---
For citation: Monakov Yu.V., Sharapov S.A., Seredkin D.Yu. The Efficiency of Heterostructure Photovoltaic Modules in the Territory of Russia and Adequacy of the Procedure for Selecting Protective Devices in Their Circuits. Bulletin of MPEI. 2021;6:49—58. (in Russian). DOI: 10.24160/1993-6982-2021-6-49-58.
2. World Nuclear Performance Rep. 2019 [Электрон. ресурс] www.world-nuclear.org/getmedia/d77ef8a1-b720-44aa-9b87-abf09f474b43/performance-report-2019.pdf.aspx (дата обращения 01.11.2020).
3. Solar Energy Industries Association [Офиц. сайт] www.seia.org/solar-industry-research-data (дата обращения 05.01.2021).
4. IEA. Installed Power Generation Capacity by Source in the Stated Policies Scenario, 2000—2040 [Электрон. ресурс] www.iea.org/data-and-statistics/charts/installed-power-generation-capacity-by-source-in-the-stated-policies-scenario-2000-2040 (дата обращения 10.10.2020).
5. IEA. Global Solar PV and Wind Power Capacity Additions, 2010—2020 [Электрон. ресурс] www.iea.org/data-and-statistics/charts/global-solar-pv-and-wind-power-capacity-additions-2010-2020e (дата обращения 15.10.2020).
6. IEA. Renewables 2020 [Электрон. ресурс] /www.iea.org/reports/renewables-2020 (дата обращения 10.01.2021).
7. IRENA. Final Renewable Energy Consumption 2020. International Renewable Energy Agency [Электрон. ресурс] www.irena.org/Statistics/View-Data-by-Topic/Renewable-Energy-Balances/Final-Renewable-Energy-Consumption (дата обращения 11.12.2020).
8. IRENA. Solar Costs 2020. [Электрон. ресурс] www.irena.org/Statistics/View-Data-by-Topic/Costs/Solar-Costs (дата обращения 02.05.2021).
9. Годовой отчет о деятельности ассоциации «НП Совет рынка» за 2018 г. [Электрон. ресурс] www.np-sr.ru/sites/default/files/go_2018_god_.pdf (дата обращения 15.10.2020).
10. SolarGIS [Офиц. сайт] www.solargis.com (дата обращения 15.11.2020).
11. Recent Facts about Photovoltaics in Germany [Электрон. ресурс] www.ise.fraunhofer.de/en/publications/studies/recent-facts-about-pv-in-germany.html (дата обращения 15.03.2021)
12. Jäger-Waldau A. PV Status Rep. Luxembourg: Office of the European Union, 2019.
13. Бессель В.В., Кучеров В.Г., Мингалеева Р.Д. Изучение солнечных фотоэлектрических элементов. М.: Изд. центр РГУ нефти и газа им. И.М. Губкина, 2016.
14. Davarifar M., Rabhi A., El Hajjaji A. Comprehensive Modulation and Classification of Faults and Analysis Their Effect in DC Side of Photovoltaic System // Energy and Power Eng. 2013. V. 5. Pp. 230—236.
15. Hariharan R., Chakkarapani M., Saravana Ilango G., Nagamani C. A Method to Detect Photovoltaic Array Faults and Partial Shading in PV Systems // IEEE J. Photovoltaics. 2016. V. 6. No. 5. Pp. 1278—1285.
16. Какурина Н.А., Какурин Ю.Б., Курсай Д.Е., Осипов Н.А. Исследование электрофизических характеристик солнечной панели с помощью компьютеризированного измерительного стенда // Инженерный вестник Дона. 2016. № 3(42). С. 1—10.
17. Dash S. e. a. A Comprehensive Assessment of Maximum Power Point Tracking Techniques under Uniform and Non-uniform Irradiance and its Impact on photovoltaic Systems: a Review // J. Renewable and Sustainable Energy. 2015. V. 7(6). P. 063113.
18. Haber I., Farkas I. Combining CFD Simulations with Blockoriented Heatflow-network Model for Prediction of Photovoltaic Energy-production // J. Physics: Conf. Series. 2011. V. 268(1). P. 012008.
19. Vergura S.A Complete and Simplified Datasheet-Based Model of PV Cells in Variable Environmental Conditions for Circuit Simulation // Energies. 2016. V. 9(5). Pp. 326—337.
20. Alam M.K., Khan F., Johnson J., Flicker J. A Comprehensive Review of Catastrophic Faults in PV Arrays: Types, Detection, and Mitigation Techniques // IEEE J. Photovoltaics. 2015. V. 5. No. 3. Pp. 982—997.
---
Для цитирования: Монаков Ю.В., Шарапов С.А., Середкин Д.Ю. Эффективность гетероструктурных фотоэлектрических модулей на территории России и корректность методики выбора защитных аппаратов в их цепях // Вестник МЭИ. 2021. № 6. С. 49—00. DOI: 10.24160/1993-6982-2021-6-49-58
#
1. IEA PVPS. Trends in Photovoltaic Applications 2020 [Elektron. Resurs] www.iea-pvps.org/wp-content/uploads/2020/11/IEA_PVPS_Trends_Report_2020-1.pdf (Data Obrashcheniya 03.12.2020).
2. World Nuclear Performance Rep. 2019 [Elektron. Resurs] www.world-nuclear.org/getmedia/d77ef8a1-b720-44aa-9b87-abf09f474b43/performance-report-2019.pdf.aspx (Data Obrashcheniya 01.11.2020).
3. Solar Energy Industries Association [Ofits. Sayt] www.seia.org/solar-industry-research-data (Data Obrashcheniya 05.01.2021).
4. IEA. Installed Power Generation Capacity by Source in the Stated Policies Scenario, 2000—2040 [Elektron. Resurs] www.iea.org/data-and-statistics/charts/installed-power-generation-capacity-by-source-in-the-stated-policies-scenario-2000-2040 (Data Obrashcheniya 10.10.2020).
5. IEA. Global Solar PV and Wind Power Capacity Additions, 2010—2020 [Elektron. Resurs] www.iea.org/data-and-statistics/charts/global-solar-pv-and-wind-power-capacity-additions-2010-2020e (data Obrashcheniya 15.10.2020).
6. IEA. Renewables 2020 [Elektron. Resurs] /www.iea.org/reports/renewables-2020 (Data Obrashcheniya 10.01.2021).
7. IRENA. Final Renewable Energy Consumption 2020. International Renewable Energy Agency [Elektron. Resurs] www.irena.org/Statistics/View-Data-by-Topic/Renewable-Energy-Balances/Final-Renewable-Energy-Consumption (Data Obrashcheniya 11.12.2020).
8. IRENA. Solar Costs 2020. [Elektron. Resurs] www.irena.org/Statistics/View-Data-by-Topic/Costs/Solar-Costs (Data Obrashcheniya 02.05.2021).
9. Godovoy Otchet o Deyatel'nosti Assotsiatsii «NP Sovet Rynka» za 2018 g. [Elektron. Resurs] www.np-sr.ru/sites/default/files/go_2018_god_.pdf (Data Obrashcheniya 15.10.2020). (in Russian).
10. SolarGIS [Ofits. Sayt] www.solargis.com (Data Obrashcheniya 15.11.2020).
11. Recent Facts about Photovoltaics in Germany [Elektron. Resurs] www.ise.fraunhofer.de/en/publications/studies/recent-facts-about-pv-in-germany.html (Data Obrashcheniya 15.03.2021)
12. Jäger-Waldau A. PV Status Rep. Luxembourg: Office of the European Union, 2019.
13. Bessel' V.V., Kucherov V.G., Mingaleeva R.D. Izuchenie solnechnykh Fotoelektricheskikh Elementov. M.: Izd. Tsentr RGU Nefti i Gaza im. I.M. Gubkina, 2016. (in Russian).
14. Davarifar M., Rabhi A., El Hajjaji A. Comprehensive Modulation and Classification of Faults and Analysis Their Effect in DC Side of Photovoltaic System. Energy and Power Eng. 2013;5:230—236.
15. Hariharan R., Chakkarapani M., Saravana Ilango G., Nagamani C. A Method to Detect Photovoltaic Array Faults and Partial Shading in PV Systems. IEEE J. Photovoltaics. 2016;6;5:1278—1285.
16. Kakurina N.A., Kakurin Yu.B., Kursay D.E., Osipov N.A. Issledovanie Elektrofizicheskikh Kharakteristik Solnechnoy Paneli s Pomoshch'yu Komp'yuterizirovannogo Izmeritel'nogo Stenda. Inzhenernyy Vestnik Dona. 2016;3(42):1—10. (in Russian).
17. Dash S. e. a. A Comprehensive Assessment of Maximum Power Point Tracking Techniques under Uniform and Non-uniform Irradiance and its Impact on photovoltaic Systems: a Review. J. Renewable and Sustainable Energy. 2015’7(6):063113.
18. Haber I., Farkas I. Combining CFD Simulations with Blockoriented Heatflow-network Model for Prediction of Photovoltaic Energy-production. J. Physics: Conf. Series. 2011.268(1):012008.
19. Vergura S.A Complete and Simplified Datasheet-Based Model of PV Cells in Variable Environmental Conditions for Circuit Simulation. Energies. 2016;9(5):326—337.
20. Alam M.K., Khan F., Johnson J., Flicker J. A Comprehensive Review of Catastrophic Faults in PV Arrays: Types, Detection, and Mitigation Techniques. IEEE J. Photovoltaics. 2015;5;3:982—997.
---
For citation: Monakov Yu.V., Sharapov S.A., Seredkin D.Yu. The Efficiency of Heterostructure Photovoltaic Modules in the Territory of Russia and Adequacy of the Procedure for Selecting Protective Devices in Their Circuits. Bulletin of MPEI. 2021;6:49—58. (in Russian). DOI: 10.24160/1993-6982-2021-6-49-58.
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Published
2021-06-07
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Section
Renewable Energy Installations (05.14.08)
