Utilization of electric vehicles as energy storage with the purpose of increasing the profits of the owners and improving the reliability of the distribution system

Document Type : Original Article

Authors

1 Researcher, Department of Energy Engineering, Sharif University of Technology, Tehran, Iran

2 Assistant Professor, Department of Energy Engineering, Sharif University of Technology, Tehran, Iran

3 Associate Professor, Department of Renewable Energies and Environment, University of Tehran, Tehran, Iran

10.22059/ses.2023.359327.1035

Abstract

Today, the utilization of energy storage systems, especially in distribution systems, has a significant impact on improving the performance of the energy system, improving system reliability indicators, and reducing energy system operating costs. Therefore, using these utilities in the energy systems is advantageous. In this paper, the motivations for using electric vehicles as energy storage units are investigated. For instance, we can mention the effect of minimizing system costs from the load point of view. Moreover, in this paper, the effect of electric vehicles in improving the reliability indices, such as the Energy Not Served (ENS) and the System Average Interruption Duration Index (SAIDI) has been investigated. In order to achieve this, a dynamic planning framework has been introduced in a distribution network with the aim of minimizing system costs. After applying the framework presented in the article and modeling the IEEE 34-node sample system, the simulation results show that the network operator improves the network reliability indicators by adjusting the electricity price in such a way that electric car owners can benefit. In this regard, the total amount of ENS of the system is reduced by 11% in centralized mode. Also, the SAIDI index is reduced by 85% in the centralized mode and by 51% in the distributed mode.

Keywords

References

  • Geidl, “Integrated modeling and optimization of multi-carrier energy systems.” ETH Zurich, 2007.
  • Mohammadi, Y. Noorollahi, B. Mohammadi-Ivatloo, and H. Yousefi, “Energy hub: from a model to a concept–a review,” Renew. Sustain. Energy Rev., vol. 80, pp. 1512–1527, 2017.
  • Zeng, T. Ding, Y. Xu, Y. Yang, and Z. Dong, “Reliability evaluation for integrated power-gas systems with power-to-gas and gas storages,” IEEE Trans. Power Syst., vol. 35, no. 1, pp. 571–583, 2019.
  • Rahmani-Andebili, M. F. Firuzabad, and M. Moeini-Aghtaie, “Optimal incentive plans for plug-in electric vehicles,” in Electric distribution network planning, Springer, 2018, pp. 299–320.
  • Pouladi J, Bannae Sharifian MB, Soleymani S. Probabilistic Modeling of Aggregated Electric Vehicle Charging Demand in Residential Distribution Network. TABRIZ J Electr Eng 2018;47:1357–69.
  • Noorollahi, A. Aligholian, and A. Golshanfard, “Stochastic energy modeling with consideration of electrical vehicles and renewable energy resources-A review,” J. energy Manag. Technol., vol. 4, no. 1, pp. 13–26, 2020.

 

  • Pirehbabi, A. Mosayyebi, and M. Zandi, “Development scenarios for electric vehicles in Iran with Dynamic System method,” J. Sustain. Energy Syst., vol. 2, no. 1, pp. 1–17, 2022.
  • M. Pariyarath, “Probabilistic evaluation of distribution network reliability in the presence of renewable energy sources, energy storage and electric vehicles,” 2021.
  • Billington and R. N. Allan, “Reliability evaluation of power systems,” 1984.
  • Huang and G. Li, “Reliability evaluation of distributed integrated energy systems via Markov chain Monte Carlo,” in 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), 2017, pp. 1–5.
  • Huang et al., “Reliability and Vulnerability Assessment of Multi-Energy Systems: An Energy Hub Based Method,” IEEE Trans. Power Syst., 2021.
  • A. Ansari, C. Y. Chung, and E. Zio, “A Novel Framework for the Operational Reliability Evaluation of Integrated Electric Power-Gas Networks,” IEEE Trans. Smart Grid, 2021.
  • M. Correa-Posada and P. Sanchez-Martin, “Integrated power and natural gas model for energy adequacy in short-term operation,” IEEE Trans. Power Syst., vol. 30, no. 6, pp. 3347–3355, 2014.
  • Z. Xu and C. Y. Chung, “Reliability evaluation of distribution systems including vehicle-to-home and vehicle-to-grid,” IEEE Trans. power Syst., vol. 31, no. 1, pp. 759–768, 2015.
  • Zhang, Y. Zhu, Z. Wang, Y. Su, and C. Li, “Reliability assessment of distribution network and electric vehicle considering quasi-dynamic traffic flow and vehicle-to-grid,” IEEE Access, vol. 7, pp. 131201–131213, 2019.
  • Zhang, L. Che, M. Shahidehpour, A. S. Alabdulwahab, and A. Abusorrah, “Reliability-based optimal planning of electricity and natural gas interconnections for multiple energy hubs,” IEEE Trans. Smart Grid, vol. 8, no. 4, pp. 1658–1667, 2015.
  • Noorollahi, A. Golshanfard, A. Aligholian, B. Mohammadi-ivatloo, S. Nielsen, and A. Hajinezhad, “Sustainable energy system planning for an industrial zone by integrating electric vehicles as energy storage,” J. Energy Storage, vol. 30, p. 101553, 2020.
  • Hougardy, “The Floyd–Warshall algorithm on graphs with negative cycles,” Inf. Process. Lett., vol. 110, no. 8–9, pp. 279–281, 2010.
  • Highlights, “NHTS Program Updates,” pp. 1–4, 2021.
  • Estakhr, M. Simab, and T. Niknam, “Security Analysis of Hybrid Multi-Carrier Energy Systems,” Sustainability, vol. 13, no. 6, p. 3102, 2021.
Journal of sustainable Energy Systems
Volume 2, Issue 1
January 2023
Pages 35-51

Files

Share

How to cite

Statistics