Research Article
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Year 2025, Volume: 13 Issue: 1, 165 - 179, 01.03.2025
https://doi.org/10.36306/konjes.1569043

Abstract

References

  • S. Lopez, “Record €60bn investment in electric cars and batteries in Europe secured last year,” T&E. Accessed: Apr. 19, 2024. [Online]. Available: https://www.transportenvironment.org
  • D. Hall, S. Wappelhorst, P. Mock, and N. Lutsey, “European Electric Vehicle Factbook 2019/2020,” The International Council On Clean Transportation, p. 19, 2020.
  • International Energy Agency, “Global EV Outlook 2021 - Accelerating ambitions despite the pandemic,” Global EV Outlook 2021. [Online]. Available: https://iea.blob.core.windows.net/assets/ed5f4484-f556-4110-8c5c-4ede8bcba637/GlobalEVOutlook2021.pdf
  • L. Pieltain Fernández, T. Gómez San Román, R. Cossent, C. Mateo Domingo, and P. Frías, “Assessment of the impact of plug-in electric vehicles on distribution networks,” IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 206–213, 2011, doi: 10.1109/TPWRS.2010.2049133.
  • M. A. Awadallah, B. N. Singh, and B. Venkatesh, “Impact of EV Charger Load on Distribution Network Capacity: A Case Study in Toronto,” Canadian Journal of Electrical and Computer Engineering, vol. 39, no. 4, pp. 268–273, 2016, doi: 10.1109/CJECE.2016.2545925.
  • H. Sun et al., “Review of Challenges and Research Opportunities for Voltage Control in Smart Grids,” IEEE Transactions on Power Systems, vol. 34, no. 4, pp. 2790–2801, 2019, doi: 10.1109/TPWRS.2019.2897948.
  • W. J. Nacmanson, J. Zhu, and L. F. Ochoa, “Assessing the unmanaged EV hosting capacity of Australian rural and urban distribution networks,” IET Conference Proceedings, vol. 2022, no. 3, pp. 681–685, Jun. 2022, doi: 10.1049/icp.2022.0795.
  • S. Cuddihey and B. Hatton, “UK power networks engineering design standard eds 08-0136: LV network design,” UK Power Networks, 2015.
  • M. Liu and M. Sahraei-Ardakani, “Chance-Constrained Shrunken-Primal-Dual Subgradient (CC-SPDS) Approach for Decentralized Electric Vehicle Charging Control,” 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019, pp. 1520–1525, 2019, doi: 10.1109/ISGT-Asia.2019.8881381.
  • X. Zhang, Z. Wang, and Z. Lu, “Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm,” Appl Energy, vol. 306, no. PA, p. 118018, 2022, doi: 10.1016/j.apenergy.2021.118018.
  • M. Lotfi, T. Almeida, M. S. Javadi, G. J. Osório, C. Monteiro, and J. P. S. Catalão, “Coordinating energy management systems in smart cities with electric vehicles,” Appl Energy, vol. 307, no. October 2021, p. 118241, 2022, doi: 10.1016/j.apenergy.2021.118241.
  • J. Zhao, J. Wang, Z. Xu, C. Wang, C. Wan, and C. Chen, “Distribution Network Electric Vehicle Hosting Capacity Maximization: A Chargeable Region Optimization Model,” IEEE Transactions on Power Systems, vol. 32, no. 5, pp. 4119–4130, 2017, doi: 10.1109/TPWRS.2017.2652485.
  • O. Hafez and K. Bhattacharya, “Optimal PHEV charging in coordination with distributed generation operation in distribution systems,” IEEE Power and Energy Society General Meeting, 2012, doi: 10.1109/PESGM.2012.6345320.
  • P. Wang, S. Zou, and Z. Ma, “A partial augmented lagrangian method for decentralized electric vehicle charging in capacity-constrained distribution networks,” IEEE Access, vol. 7, pp. 118229–118238, 2019, doi: 10.1109/ACCESS.2019.2935020.
  • W. Qi, Z. Xu, Z. J. M. Shen, Z. Hu, and Y. Song, “Hierarchical coordinated control of plug-in electric vehicles charging in multifamily dwellings,” IEEE Trans Smart Grid, vol. 5, no. 3, pp. 1465–1474, 2014, doi: 10.1109/TSG.2014.2308217.
  • M. Liu, P. K. Phanivong, Y. Shi, and D. S. Callaway, “Decentralized charging control of electric vehicles in residential distribution networks,” IEEE Transactions on Control Systems Technology, vol. 27, no. 1, pp. 266–281, 2019, doi: 10.1109/TCST.2017.2771307.
  • C. G. Veloso, K. Rauma, J. Fernández, and C. Rehtanz, “Real-time control of plug-in electric vehicles for congestion management of radial lv networks: A comparison of implementations,” Energies (Basel), vol. 13, no. 6, pp. 1–19, 2020, doi: 10.3390/en13164227.
  • J. Quiros-Tortos, L. F. Ochoa, S. W. Alnaser, and T. Butler, “Control of EV Charging Points for Thermal and Voltage Management of LV Networks,” IEEE Transactions on Power Systems, vol. 31, no. 4, pp. 3028–3039, Jul. 2016, doi: 10.1109/TPWRS.2015.2468062.
  • S. Shafiq, B. Khan, P. Raussi, and A. T. Al-Awami, “A novel communication-free charge controller for electric vehicles using machine learning,” IET Smart Grid, vol. 4, no. 3, pp. 334–345, 2021, doi: 10.1049/stg2.12032.
  • E. Vega-Fuentes and M. Denai, “Enhanced Electric Vehicle Integration in the UK Low-Voltage Networks With Distributed Phase Shifting Control,” IEEE Access, vol. 7, pp. 46796–46807, 2019, doi: 10.1109/ACCESS.2019.2909990.
  • J. Pablo Carvallo et al., “A framework to measure the technical, economic, and rate impacts of distributed solar, electric vehicles, and storage,” Appl Energy, vol. 297, no. April, p. 117160, 2021, doi: 10.1016/j.apenergy.2021.117160.
  • M. Muratori, “Impact of uncoordinated plug-in electric vehicle charging on residential power demand,” Nat Energy, vol. 3, no. 3, pp. 193–201, 2018, doi: 10.1038/s41560-017-0074-z.
  • P. Rodríguez-Pajarón, A. Hernández, and J. V. Milanović, “Probabilistic assessment of the impact of electric vehicles and nonlinear loads on power quality in residential networks,” International Journal of Electrical Power and Energy Systems, vol. 129, 2021, doi: 10.1016/j.ijepes.2021.106807.
  • R. C. Leou, C. L. Su, and C. N. Lu, “Stochastic analyses of electric vehicle charging impacts on distribution network,” IEEE Transactions on Power Systems, vol. 29, no. 3, pp. 1055–1063, 2014, doi: 10.1109/TPWRS.2013.2291556.
  • Y. Mu, J. Wu, N. Jenkins, H. Jia, and C. Wang, “A Spatial-Temporal model for grid impact analysis of plug-in electric vehicles,” Appl Energy, vol. 114, pp. 456–465, 2014, doi: 10.1016/j.apenergy.2013.10.006.
  • C. Dimas, G. Ramos, L. Caro, and A. C. Luna, “Parallel Computing and Multicore Platform to Assess Electric Vehicle Hosting Capacity,” IEEE Trans Ind Appl, vol. 56, no. 5, pp. 4709–4717, 2020, doi: 10.1109/TIA.2020.3004287.
  • M. M. Rahman, E. A. Al-Ammar, H. S. Das, and W. Ko, “Comprehensive impact analysis of electric vehicle charging scheduling on load-duration curve,” Computers and Electrical Engineering, vol. 85, 2020, doi: 10.1016/j.compeleceng.2020.106673.
  • M. S. Aydin, S. Alnaser, and S. Althaher, “Using OLTC-Fitted Distribution Transformer to Increase Residential PV Hosting Capacity: Decentralized Voltage Management Approach,” Energies (Basel), vol. 15, no. 13, p. 4836, Jul. 2022, doi: 10.3390/en15134836.
  • K. Qian, C. Zhou, M. Allan, and Y. Yuan, “Modeling of load demand due to EV battery charging in distribution systems,” IEEE Transactions on Power Systems, vol. 26, no. 2, pp. 802–810, 2011, doi: 10.1109/TPWRS.2010.2057456.
  • M. S. Aydin, “Strategies for increasing hosting capacity in PV-rich LV feeders via radiality-imposed reconfiguration,” Sustainable Energy, Grids and Networks, vol. 38, p. 101288, Jun. 2024, doi: 10.1016/j.segan.2024.101288.
  • I. Richardson and M. Thomson, “Integrated simulation of photovoltaic micro-generation and domestic electricity demand: a one-minute resolution open-source model,” Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, vol. 227, no. 1, pp. 73–81, Aug. 2012, doi: 10.1177/0957650912454989.
  • Office for National Statistic, “Statistical bulletin families and households , 2013,” Office for National Statistic,UK.
  • P. Richardson, M. Moran, J. Taylor, A. Maitra, and A. Keane, “Impact of electric vehicle charging on residential distribution networks: An Irish demonstration initiative,” in 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013), Institution of Engineering and Technology, 2013, pp. 0674–0674. doi: 10.1049/cp.2013.0873.
  • Nissan, “Nissan LEAF.” Accessed: Feb. 18, 2024. [Online]. Available: https://www.nissan.co.uk/vehicles/new-vehicles/leaf.html
  • A. Navarro-Espinosa and L. F. Ochoa, “Probabilistic Impact Assessment of Low Carbon Technologies in LV Distribution Systems,” IEEE Transactions on Power Systems, pp. 1–12, 2015. doi: 10.1109/TPWRS.2015.2448663.
  • P. Leather, “Distribution System Design Low Voltage Network,” Electricity North West Limited, no. 6, 2015.
  • M. S. Aydin and S. Çiftçi, “Alçak gerilim şebekelerinde PV kaynaklı gerilim artışlarına karşı BESS kullanımının yerel ve merkezi kontrolörler aracılığıyla değerlendirilmesi,” Pamukkale University Journal of Engineering Sciences, 2024, doi: 10.5505/pajes.2024.06432.
  • M. S. Aydin, “Investigating the Adoption of Ring Operation in LV Networks with PV Systems,” Thesis, The University of Manchester, 2017. Accessed: Feb. 10, 2024. [Online]. Available: https://www.escholar.manchester.ac.uk/uk-ac-man-scw:312239
  • N. Shabbir et al., “Enhancing PV hosting capacity and mitigating congestion in distribution networks with deep learning based PV forecasting and battery management,” Appl Energy, vol. 372, p. 123770, Oct. 2024, doi: 10.1016/j.apenergy.2024.123770.
  • F. Ahmed, A. Arshad, A. U. Rehman, M. H. Alqahtani, and K. Mahmoud, “Effective incentive based demand response with voltage support capability via reinforcement learning based multi-agent framework,” Energy Reports, vol. 12, pp. 568–578, Dec. 2024, doi: 10.1016/j.egyr.2024.06.036.
  • U. Azhar, M. Rizwan, W. Shen, and M. Korki, “Performance Analysis of a Low Voltage Distribution Network in Pakistan under High Penetration of Rooftop Solar PV Systems,” in 2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC), IEEE, Nov. 2022, pp. 1–6. doi: 10.1109/APPEEC53445.2022.10072154.

IMPACT ANALYSIS OF PLUG-IN ELECTRIC VEHICLES ON THE REAL RESIDENTIAL DISTRIBUTION NETWORK

Year 2025, Volume: 13 Issue: 1, 165 - 179, 01.03.2025
https://doi.org/10.36306/konjes.1569043

Abstract

The growing share of Electric Vehicles (EVs) in the personal automobile market is expected to accelerate in the years to come. With increased demand at a household level, technical problems such as transformer and feeder overloading are likely to emerge. Therefore, this highlights the need for a comprehensive impact analysis framework for EVs to overcome the challenges ahead. A smoother transition, exploiting scalable performance indicators, to Low Voltage (LV) networks with this new form of demand could be achieved as imminent problems can be computed in a realistic manner. To this end, the impact analysis framework is proposed and the corresponding performance indicators are formulated to be used by researchers and/or Distribution Network Operators (DNOs) for different purposes. Under different scenarios, the impacts of EVs on the real underground unbalanced three-phase network are comprehensively explored considering household voltage profiles, transformer-loading, utilization of feeders, and daily total energy losses. For the summer and winter seasons, three cases covering all possible circumstances are investigated: without EVs, with EVs, and a worst-case scenario where all EVs connect at the same time. From the study, it can be deduced that the impact of EVs on the network and household voltage could reach unacceptable levels, and diversifying the connection times of EVs is vital to coping with potential problems posed by residential-level participation in EVs.

References

  • S. Lopez, “Record €60bn investment in electric cars and batteries in Europe secured last year,” T&E. Accessed: Apr. 19, 2024. [Online]. Available: https://www.transportenvironment.org
  • D. Hall, S. Wappelhorst, P. Mock, and N. Lutsey, “European Electric Vehicle Factbook 2019/2020,” The International Council On Clean Transportation, p. 19, 2020.
  • International Energy Agency, “Global EV Outlook 2021 - Accelerating ambitions despite the pandemic,” Global EV Outlook 2021. [Online]. Available: https://iea.blob.core.windows.net/assets/ed5f4484-f556-4110-8c5c-4ede8bcba637/GlobalEVOutlook2021.pdf
  • L. Pieltain Fernández, T. Gómez San Román, R. Cossent, C. Mateo Domingo, and P. Frías, “Assessment of the impact of plug-in electric vehicles on distribution networks,” IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 206–213, 2011, doi: 10.1109/TPWRS.2010.2049133.
  • M. A. Awadallah, B. N. Singh, and B. Venkatesh, “Impact of EV Charger Load on Distribution Network Capacity: A Case Study in Toronto,” Canadian Journal of Electrical and Computer Engineering, vol. 39, no. 4, pp. 268–273, 2016, doi: 10.1109/CJECE.2016.2545925.
  • H. Sun et al., “Review of Challenges and Research Opportunities for Voltage Control in Smart Grids,” IEEE Transactions on Power Systems, vol. 34, no. 4, pp. 2790–2801, 2019, doi: 10.1109/TPWRS.2019.2897948.
  • W. J. Nacmanson, J. Zhu, and L. F. Ochoa, “Assessing the unmanaged EV hosting capacity of Australian rural and urban distribution networks,” IET Conference Proceedings, vol. 2022, no. 3, pp. 681–685, Jun. 2022, doi: 10.1049/icp.2022.0795.
  • S. Cuddihey and B. Hatton, “UK power networks engineering design standard eds 08-0136: LV network design,” UK Power Networks, 2015.
  • M. Liu and M. Sahraei-Ardakani, “Chance-Constrained Shrunken-Primal-Dual Subgradient (CC-SPDS) Approach for Decentralized Electric Vehicle Charging Control,” 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019, pp. 1520–1525, 2019, doi: 10.1109/ISGT-Asia.2019.8881381.
  • X. Zhang, Z. Wang, and Z. Lu, “Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm,” Appl Energy, vol. 306, no. PA, p. 118018, 2022, doi: 10.1016/j.apenergy.2021.118018.
  • M. Lotfi, T. Almeida, M. S. Javadi, G. J. Osório, C. Monteiro, and J. P. S. Catalão, “Coordinating energy management systems in smart cities with electric vehicles,” Appl Energy, vol. 307, no. October 2021, p. 118241, 2022, doi: 10.1016/j.apenergy.2021.118241.
  • J. Zhao, J. Wang, Z. Xu, C. Wang, C. Wan, and C. Chen, “Distribution Network Electric Vehicle Hosting Capacity Maximization: A Chargeable Region Optimization Model,” IEEE Transactions on Power Systems, vol. 32, no. 5, pp. 4119–4130, 2017, doi: 10.1109/TPWRS.2017.2652485.
  • O. Hafez and K. Bhattacharya, “Optimal PHEV charging in coordination with distributed generation operation in distribution systems,” IEEE Power and Energy Society General Meeting, 2012, doi: 10.1109/PESGM.2012.6345320.
  • P. Wang, S. Zou, and Z. Ma, “A partial augmented lagrangian method for decentralized electric vehicle charging in capacity-constrained distribution networks,” IEEE Access, vol. 7, pp. 118229–118238, 2019, doi: 10.1109/ACCESS.2019.2935020.
  • W. Qi, Z. Xu, Z. J. M. Shen, Z. Hu, and Y. Song, “Hierarchical coordinated control of plug-in electric vehicles charging in multifamily dwellings,” IEEE Trans Smart Grid, vol. 5, no. 3, pp. 1465–1474, 2014, doi: 10.1109/TSG.2014.2308217.
  • M. Liu, P. K. Phanivong, Y. Shi, and D. S. Callaway, “Decentralized charging control of electric vehicles in residential distribution networks,” IEEE Transactions on Control Systems Technology, vol. 27, no. 1, pp. 266–281, 2019, doi: 10.1109/TCST.2017.2771307.
  • C. G. Veloso, K. Rauma, J. Fernández, and C. Rehtanz, “Real-time control of plug-in electric vehicles for congestion management of radial lv networks: A comparison of implementations,” Energies (Basel), vol. 13, no. 6, pp. 1–19, 2020, doi: 10.3390/en13164227.
  • J. Quiros-Tortos, L. F. Ochoa, S. W. Alnaser, and T. Butler, “Control of EV Charging Points for Thermal and Voltage Management of LV Networks,” IEEE Transactions on Power Systems, vol. 31, no. 4, pp. 3028–3039, Jul. 2016, doi: 10.1109/TPWRS.2015.2468062.
  • S. Shafiq, B. Khan, P. Raussi, and A. T. Al-Awami, “A novel communication-free charge controller for electric vehicles using machine learning,” IET Smart Grid, vol. 4, no. 3, pp. 334–345, 2021, doi: 10.1049/stg2.12032.
  • E. Vega-Fuentes and M. Denai, “Enhanced Electric Vehicle Integration in the UK Low-Voltage Networks With Distributed Phase Shifting Control,” IEEE Access, vol. 7, pp. 46796–46807, 2019, doi: 10.1109/ACCESS.2019.2909990.
  • J. Pablo Carvallo et al., “A framework to measure the technical, economic, and rate impacts of distributed solar, electric vehicles, and storage,” Appl Energy, vol. 297, no. April, p. 117160, 2021, doi: 10.1016/j.apenergy.2021.117160.
  • M. Muratori, “Impact of uncoordinated plug-in electric vehicle charging on residential power demand,” Nat Energy, vol. 3, no. 3, pp. 193–201, 2018, doi: 10.1038/s41560-017-0074-z.
  • P. Rodríguez-Pajarón, A. Hernández, and J. V. Milanović, “Probabilistic assessment of the impact of electric vehicles and nonlinear loads on power quality in residential networks,” International Journal of Electrical Power and Energy Systems, vol. 129, 2021, doi: 10.1016/j.ijepes.2021.106807.
  • R. C. Leou, C. L. Su, and C. N. Lu, “Stochastic analyses of electric vehicle charging impacts on distribution network,” IEEE Transactions on Power Systems, vol. 29, no. 3, pp. 1055–1063, 2014, doi: 10.1109/TPWRS.2013.2291556.
  • Y. Mu, J. Wu, N. Jenkins, H. Jia, and C. Wang, “A Spatial-Temporal model for grid impact analysis of plug-in electric vehicles,” Appl Energy, vol. 114, pp. 456–465, 2014, doi: 10.1016/j.apenergy.2013.10.006.
  • C. Dimas, G. Ramos, L. Caro, and A. C. Luna, “Parallel Computing and Multicore Platform to Assess Electric Vehicle Hosting Capacity,” IEEE Trans Ind Appl, vol. 56, no. 5, pp. 4709–4717, 2020, doi: 10.1109/TIA.2020.3004287.
  • M. M. Rahman, E. A. Al-Ammar, H. S. Das, and W. Ko, “Comprehensive impact analysis of electric vehicle charging scheduling on load-duration curve,” Computers and Electrical Engineering, vol. 85, 2020, doi: 10.1016/j.compeleceng.2020.106673.
  • M. S. Aydin, S. Alnaser, and S. Althaher, “Using OLTC-Fitted Distribution Transformer to Increase Residential PV Hosting Capacity: Decentralized Voltage Management Approach,” Energies (Basel), vol. 15, no. 13, p. 4836, Jul. 2022, doi: 10.3390/en15134836.
  • K. Qian, C. Zhou, M. Allan, and Y. Yuan, “Modeling of load demand due to EV battery charging in distribution systems,” IEEE Transactions on Power Systems, vol. 26, no. 2, pp. 802–810, 2011, doi: 10.1109/TPWRS.2010.2057456.
  • M. S. Aydin, “Strategies for increasing hosting capacity in PV-rich LV feeders via radiality-imposed reconfiguration,” Sustainable Energy, Grids and Networks, vol. 38, p. 101288, Jun. 2024, doi: 10.1016/j.segan.2024.101288.
  • I. Richardson and M. Thomson, “Integrated simulation of photovoltaic micro-generation and domestic electricity demand: a one-minute resolution open-source model,” Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, vol. 227, no. 1, pp. 73–81, Aug. 2012, doi: 10.1177/0957650912454989.
  • Office for National Statistic, “Statistical bulletin families and households , 2013,” Office for National Statistic,UK.
  • P. Richardson, M. Moran, J. Taylor, A. Maitra, and A. Keane, “Impact of electric vehicle charging on residential distribution networks: An Irish demonstration initiative,” in 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013), Institution of Engineering and Technology, 2013, pp. 0674–0674. doi: 10.1049/cp.2013.0873.
  • Nissan, “Nissan LEAF.” Accessed: Feb. 18, 2024. [Online]. Available: https://www.nissan.co.uk/vehicles/new-vehicles/leaf.html
  • A. Navarro-Espinosa and L. F. Ochoa, “Probabilistic Impact Assessment of Low Carbon Technologies in LV Distribution Systems,” IEEE Transactions on Power Systems, pp. 1–12, 2015. doi: 10.1109/TPWRS.2015.2448663.
  • P. Leather, “Distribution System Design Low Voltage Network,” Electricity North West Limited, no. 6, 2015.
  • M. S. Aydin and S. Çiftçi, “Alçak gerilim şebekelerinde PV kaynaklı gerilim artışlarına karşı BESS kullanımının yerel ve merkezi kontrolörler aracılığıyla değerlendirilmesi,” Pamukkale University Journal of Engineering Sciences, 2024, doi: 10.5505/pajes.2024.06432.
  • M. S. Aydin, “Investigating the Adoption of Ring Operation in LV Networks with PV Systems,” Thesis, The University of Manchester, 2017. Accessed: Feb. 10, 2024. [Online]. Available: https://www.escholar.manchester.ac.uk/uk-ac-man-scw:312239
  • N. Shabbir et al., “Enhancing PV hosting capacity and mitigating congestion in distribution networks with deep learning based PV forecasting and battery management,” Appl Energy, vol. 372, p. 123770, Oct. 2024, doi: 10.1016/j.apenergy.2024.123770.
  • F. Ahmed, A. Arshad, A. U. Rehman, M. H. Alqahtani, and K. Mahmoud, “Effective incentive based demand response with voltage support capability via reinforcement learning based multi-agent framework,” Energy Reports, vol. 12, pp. 568–578, Dec. 2024, doi: 10.1016/j.egyr.2024.06.036.
  • U. Azhar, M. Rizwan, W. Shen, and M. Korki, “Performance Analysis of a Low Voltage Distribution Network in Pakistan under High Penetration of Rooftop Solar PV Systems,” in 2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC), IEEE, Nov. 2022, pp. 1–6. doi: 10.1109/APPEEC53445.2022.10072154.
There are 41 citations in total.

Details

Primary Language English
Subjects Electrical Energy Transmission, Networks and Systems, Electrical Engineering (Other)
Journal Section Research Article
Authors

Muhammed Sait Aydın 0000-0003-4922-2846

Publication Date March 1, 2025
Submission Date October 17, 2024
Acceptance Date February 5, 2025
Published in Issue Year 2025 Volume: 13 Issue: 1

Cite

IEEE M. S. Aydın, “IMPACT ANALYSIS OF PLUG-IN ELECTRIC VEHICLES ON THE REAL RESIDENTIAL DISTRIBUTION NETWORK”, KONJES, vol. 13, no. 1, pp. 165–179, 2025, doi: 10.36306/konjes.1569043.