Improving Electrical Distribution Systems Resilience by their Optimal and Adaptable Operation in the Presence of Mobile Power Sources

Document Type : tarvigi

Authors

1 Department of Engineering and defense, Imam Hossein University, Tehran, Iran

2 Faculty of Passive Defense, Imam Hossein Comprehensive University, Tehran, Iran

3 Imam Hussein UniversDepartment of Engineering and defense, Imam Hossein University, Tehran, Iranity

4 Faculty of Electrical Engineering, Shiraz University of Technology

Abstract

Natural disasters and cyber-attacks pose many risks to the acceptable performance of power grids. In addition, the bitter experiences, gained from the recent Natural disasters in the country, lead to a greater focus on the concept of resilience. In this paper, a flexible method for improving the distribution network distribution resilience is proposed considering remote control switches and mobile power sources according to Tavanir Company policies. In the proposed method, changing the network configuration in real-time, controlling switches, and utilizing mobile power sources bring high flexibility and resilience to the network. The objective functions and constraints of the problem are completely linearized to reduce the complexity and solving time of the resilience problem. The mixed-integer linear programming method is used in the proposed method to optimize the objective functions. A modified IEEE 33-bus distribution system is utilized to evaluate the efficiency of the proposed method. According to the results, when the mobile power sources are located in the network based on the proposed method along with sending the repair team and operating switches after a disaster, the value of the objective functions and un-supplied loads are reduced by about 85 %. Therefore, the proposed method has a proper performance in increasing the resilience of distribution systems.

Keywords

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References

  • Mirsadeghi, F. Moazen, R. Ghaffarpour, “Improving the Resilience of Power Grids in the Face of Focused Attacks Using the Contingency Analysis”, J. Passive Defence, vol. 3, no. 3, pp. 1-10, 2022 (In Persian).
  • Alami, “The effect of load response programs in ensuring the security of the power grid in critical conditions by considering passive defense criteria”, J. Passive Defence, vol. 5, no. 3, pp. 63-74, 2014 (In Persian).
  • Madani, R. Dashti, “Providing passive defense solutions to prevent a nationwide blackout in Iran”, J. Passive Defence, vol. 8, no. 2, pp. 43-53, 2017 (In Persian).
  • Kemabonta, G. Mowry, “A syncretistic approach to grid reliability and resilience: Investigations from Minnesota”, Energy Strategy Rev., vol. 38, pp. 100726, 2021.
  • “Enhancing grid resilience with integrated storage from electric vehicles”, EAC of U.S. Dept. Energy, Washington, DC, USA, Tech. Rep., 2018.
  • Taherkhani, G. Heravi, A. Shokravi, “Developing a framework to enhance the seismic resilience of the electricity distribution system feeding the healthcare system”, Int. J. Disaster Risk Reduction, vol. 71, pp. 102801, 2022.
  • Mishra et al., “Active distribution system resilience quantification and enhancement through multi-microgrid and mobile energy storage”, Appl. Energy, vol. 311, pp. 118665, 2022.
  • Kim and Y. Dvorkin, “Enhancing Distribution System Resilience with Mobile Energy Storage and Microgrids”, IEEE Trans. Smart Grid, 2018.
  • Zhou et al., “Multiobjective generation portfolio of hybrid energy generating station for mobile emergency power supplies”, IEEE Trans. Smart Grid, vol. 9, no. 6, pp. 5786–5797, 2018.
  • Lei, J. Wang, C. Chen, and Y. Hou, “Mobile emergency generator prepositioning and real-time allocation for resilient response to natural disasters” IEEE Trans. Smart Grid, vol. 9, no. 3, pp. 2030 2041, 2018.
  • S. A. Sedzro, A. J. Lamadrid, and L. F. Zuluaga, “Allocation of resources using a microgrid formation approach for resilient electric grids”, IEEE Trans. Power Syst., vol. 33, no. 3, pp. 2633-2643, 2018.
  • Farzin, M. Fotuhi-Firuzabad, and M. Moeini-Aghtaie, “Reliability Studies of Modern Distribution Systems Integrated With Renewable Generation and Parking Lots”, IEEE Trans. Sustain. Energy, vol. 8, no. 1, pp. 431–440, 2017.
  • Gao, Y. Chen, S. Mei, S. Huang, and Y. Xu, “Resilience-oriented prehurricane resource allocation in distribution systems considering electric buses”, Proc. IEEE, vol. 105, no. 7, pp. 1214-1233, 2017.
  • https://barghnews.com/fa/news/39249
  • Brown, R.E.: Electric Power Distribution Reliability. CRC Press, 2017.
  • Esmaeili, A. Anvari-Moghaddam, S. Jadid, and J. M. Guerrero, “A stochastic model predictive control approach for joint operational scheduling and hourly reconfiguration of distribution systems”, Energies, vol. 11, no. 7, 2018.
  • Ranjbar, S. H. Hosseini, and H. Zareipour, “Resiliency-Oriented Planning of Transmission Systems and Distributed Energy Resources”, IEEE Trans. Power Syst., vol. 8950, no. c, 2021.
  • B. Leite, J. R. S. Mantovani, T. Dokic, Q. Yan, P. C. Chen, and M. Kezunovic, “Resiliency Assessment in Distribution Networks Using GIS-Based Predictive Risk Analytics”, IEEE Trans. Power Syst., vol. 34, no. 6, pp. 4249–4257, 2019.
  • Pandey, S. Chanda, A. Srivastava, A. Hovsapian, “Resiliency-driven proactive distribution system reconfiguration with synchrophasor data”, IEEE Trans. Power Systems, vol .35, no. 4, pp. 2748-2758, 2020.
  • Saedi, M. Alilou, J. Gholami, “Electrical Energy Saving in Office Equipment: Life Cycle Cost Method”, Iranian J. Energy, vol. 24, pp. 101-134, 2021.
  • Saedi, J. Gholami, M. Alilou, “Classification of Energy Consumption of Lighting System in Buildings: a New Method”, Iranian J. Energy, vol. 24, pp. 7-33, 2021.
  • Ghaffarpour, M. E. Alizade, “Resiliency concept explanation in electricity network and its relationship with passive defense”, J. Shahr-E-Tabavar, vol. 2, no. 1, pp. 51-64, 2020 (in Persian).
  • Hajializadeh, D. Ghasem Zadeh, “A comparative study of smart city and global city: concepts and approaches”, J. Shahr-E-Tabavar, vol. 2, no. 2, pp. 43-52, 2020 (in Persian).
Passive Defense
Volume 14, Issue 3 - Serial Number 55
September 2023
Pages 105-114

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History

  • Receive Date: 24 December 2022
  • Revise Date: 16 January 2023
  • Accept Date: 07 August 2023
  • Publish Date: 23 September 2023

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