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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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

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