Araştırma Makalesi
BibTex RIS Kaynak Göster

Modelling PV system with Electric Vehicles in a Micro Grid

Yıl 2025, Cilt: 2 Sayı: 1, 32 - 37, 25.04.2025
https://doi.org/10.5281/zenodo.15278187

Öz

The increasing integration of plug-in electric vehicles (PHEVs) and photovoltaic (PV) systems into power grids poses significant challenges to generation-demand balance and grid stability. This paper proposes an innovative PHEV load model and a PV generation model for residential prosumers to analyze the security constraints of solar-powered systems with PHEVs in a microgrid. The PHEV load model incorporates realistic factors such as consumer work status by age, characteristics of various PHEV brands, and charging patterns on weekdays versus weekends. Similarly, the PV generation model integrates diverse solar PV characteristics and stochastic calculations of the clearness index to simulate generation profiles. Using an extended 33-bus microgrid test system, the study evaluates grid security by analyzing voltage magnitude, reverse power limits, and generation adequacy. Key findings highlight reverse power limits and transformer capacity as critical restrictive factors, particularly without grid transactions. The study also explores optimal economic schemes by promoting generation adequacy analysis, emphasizing the importance of a well-designed trading system. This work provides valuable insights into managing the intermittent nature of solar power and the growing demand from PHEVs, offering a foundation for future research on grid stability and economic optimization in renewable energy-integrated microgrids.

Kaynakça

  • [1] EA, "Renewables - Energy System," International Energy Agency, 2025. [Online]. Available: https://www.iea.org. [Accessed: Jan. 25, 2025].
  • [2] Department of Energy, "Vehicles-to-Grid Integration Assessment Report," U.S. Department of Energy, 2025. [Online]. Available: https://www.energy.gov. [Accessed: Jan. 25, 2025].
  • [3] IRENA, "National Renewable Energy Plans," International Renewable Energy Agency, 2022. [Online]. Available: https://www.irena.org. [Accessed: Jan. 25, 2025].
  • [4] Maysun Solar, "2025 Trends in the Photovoltaic Industry Development," Maysun Solar, 2025. [Online]. Available: https://www.maysunsolar.com. [Accessed: Jan. 25, 2025].
  • [5] PV Magazine, "New Tool Tips Solar to Supply 50% of Global Energy Demand by 2035," PV Magazine, 2025. [Online]. Available: https://www.pv-magazine.com. [Accessed: Jan. 25, 2025].
  • [6] European Commission, "Renewable Energy Targets," European Commission, 2023. [Online]. Available: https://ec.europa.eu. [Accessed: Jan. 25, 2025].
  • [7] H. E. Murdock, D. Gibb, T. Andr´e, F. Appavou, A. Brown, B. Epp, B. Kondev, et al., "Renewables 2019: Global Status Report," REN21, 2019.
  • [8] Mithulananthan, N., Hung, D. Q., Lee, K. Y., "Intelligent Network Integration of Distributed Renewable Generation," Springer, 2016.
  • [9] An, K., Song, K.-B., Hur, K., "Incorporating charging/discharging strategy of electric vehicles into security-constrained optimal power flow," Energies, Vol. 10, Issue 5, Pages 729, 2017.
  • [10] Marra, F., et al., "EV charging facilities and their application in LV feeders with photovoltaics," IEEE Trans. Smart Grid, Vol. 4, Issue 3, Pages 1533-1540, 2013.
  • [11] Nuhic, M., and Yang, G., "Battery energy storage system modelling in DIgSILENT PowerFactory," Modelling and Simulation of Power Electronic Converter Dominated Power Systems in PowerFactory, Pages 177–200, 2021.
  • [12] Jiménez-Ruiz, J., Honrubia-Escribano, A., Gómez-Lázaro, E., "Combined use of Python and DIgSILENT PowerFactory to analyse power systems with large amounts of variable renewable generation," Electronics, Vol. 13, No. 11, Pages 2134, 2024.
  • [13] Imani, M. H., Ghadi, M. J., Shamshirband, S., Balas, M., "Impact evaluation of electric vehicle parking on solving security-constrained unit commitment problem," Math. Comput. Appl., Vol. 23, No. 1, Pages 13, Mar. 2018.
  • [14] Zaitsev, R. V., Kirichenko, M. V., Khrypunov, G. S., Prokopenko, D. S., Zaitseva, L. V., "Development of hybrid solar generating module for high-efficiency solar energy station," in 2017 IEEE First Ukraine Conf. Elect. Comput. Eng. (UKRCON), Kiev, 2017, Pages 360-364.
  • [15] Richardson, I., Thomson, M., "Integrated simulation of photovoltaic micro-generation and domestic electricity demand," Proc. Inst. Mech. Eng., Part A: J. Power Energy, vol. 227, no. 1, Pages 73-81, 2013.
  • [16] Masters, G. M., Renewable and efficient electric power systems, John Wiley & Sons, 2013.

Modelling PV system with Electric Vehicles in a Micro Grid

Yıl 2025, Cilt: 2 Sayı: 1, 32 - 37, 25.04.2025
https://doi.org/10.5281/zenodo.15278187

Öz

The increasing integration of plug-in electric vehicles (PHEVs) and photovoltaic (PV) systems into power grids poses significant challenges to generation-demand balance and grid stability. This paper proposes an innovative PHEV load model and a PV generation model for residential prosumers to analyze the security constraints of solar-powered systems with PHEVs in a microgrid. The PHEV load model incorporates realistic factors such as consumer work status by age, characteristics of various PHEV brands, and charging patterns on weekdays versus weekends. Similarly, the PV generation model integrates diverse solar PV characteristics and stochastic calculations of the clearness index to simulate generation profiles. Using an extended 33-bus microgrid test system, the study evaluates grid security by analyzing voltage magnitude, reverse power limits, and generation adequacy. Key findings highlight reverse power limits and transformer capacity as critical restrictive factors, particularly without grid transactions. The study also explores optimal economic schemes by promoting generation adequacy analysis, emphasizing the importance of a well-designed trading system. This work provides valuable insights into managing the intermittent nature of solar power and the growing demand from PHEVs, offering a foundation for future research on grid stability and economic optimization in renewable energy-integrated microgrids.

Kaynakça

  • [1] EA, "Renewables - Energy System," International Energy Agency, 2025. [Online]. Available: https://www.iea.org. [Accessed: Jan. 25, 2025].
  • [2] Department of Energy, "Vehicles-to-Grid Integration Assessment Report," U.S. Department of Energy, 2025. [Online]. Available: https://www.energy.gov. [Accessed: Jan. 25, 2025].
  • [3] IRENA, "National Renewable Energy Plans," International Renewable Energy Agency, 2022. [Online]. Available: https://www.irena.org. [Accessed: Jan. 25, 2025].
  • [4] Maysun Solar, "2025 Trends in the Photovoltaic Industry Development," Maysun Solar, 2025. [Online]. Available: https://www.maysunsolar.com. [Accessed: Jan. 25, 2025].
  • [5] PV Magazine, "New Tool Tips Solar to Supply 50% of Global Energy Demand by 2035," PV Magazine, 2025. [Online]. Available: https://www.pv-magazine.com. [Accessed: Jan. 25, 2025].
  • [6] European Commission, "Renewable Energy Targets," European Commission, 2023. [Online]. Available: https://ec.europa.eu. [Accessed: Jan. 25, 2025].
  • [7] H. E. Murdock, D. Gibb, T. Andr´e, F. Appavou, A. Brown, B. Epp, B. Kondev, et al., "Renewables 2019: Global Status Report," REN21, 2019.
  • [8] Mithulananthan, N., Hung, D. Q., Lee, K. Y., "Intelligent Network Integration of Distributed Renewable Generation," Springer, 2016.
  • [9] An, K., Song, K.-B., Hur, K., "Incorporating charging/discharging strategy of electric vehicles into security-constrained optimal power flow," Energies, Vol. 10, Issue 5, Pages 729, 2017.
  • [10] Marra, F., et al., "EV charging facilities and their application in LV feeders with photovoltaics," IEEE Trans. Smart Grid, Vol. 4, Issue 3, Pages 1533-1540, 2013.
  • [11] Nuhic, M., and Yang, G., "Battery energy storage system modelling in DIgSILENT PowerFactory," Modelling and Simulation of Power Electronic Converter Dominated Power Systems in PowerFactory, Pages 177–200, 2021.
  • [12] Jiménez-Ruiz, J., Honrubia-Escribano, A., Gómez-Lázaro, E., "Combined use of Python and DIgSILENT PowerFactory to analyse power systems with large amounts of variable renewable generation," Electronics, Vol. 13, No. 11, Pages 2134, 2024.
  • [13] Imani, M. H., Ghadi, M. J., Shamshirband, S., Balas, M., "Impact evaluation of electric vehicle parking on solving security-constrained unit commitment problem," Math. Comput. Appl., Vol. 23, No. 1, Pages 13, Mar. 2018.
  • [14] Zaitsev, R. V., Kirichenko, M. V., Khrypunov, G. S., Prokopenko, D. S., Zaitseva, L. V., "Development of hybrid solar generating module for high-efficiency solar energy station," in 2017 IEEE First Ukraine Conf. Elect. Comput. Eng. (UKRCON), Kiev, 2017, Pages 360-364.
  • [15] Richardson, I., Thomson, M., "Integrated simulation of photovoltaic micro-generation and domestic electricity demand," Proc. Inst. Mech. Eng., Part A: J. Power Energy, vol. 227, no. 1, Pages 73-81, 2013.
  • [16] Masters, G. M., Renewable and efficient electric power systems, John Wiley & Sons, 2013.
Toplam 16 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Fotovoltaik Güç Sistemleri, Hibrit ve Elektrikli Araçlar ve Güç Aktarma Organları
Bölüm Araştırma Makalesi
Yazarlar

Aydın Atalar 0000-0002-4431-7953

Yayımlanma Tarihi 25 Nisan 2025
Gönderilme Tarihi 24 Mart 2025
Kabul Tarihi 21 Nisan 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 2 Sayı: 1

Kaynak Göster

APA Atalar, A. (2025). Modelling PV system with Electric Vehicles in a Micro Grid. Hendese Teknik Bilimler Ve Mühendislik Dergisi, 2(1), 32-37. https://doi.org/10.5281/zenodo.15278187