Provide a Novel Two-Step Approach for Self-Healing Restoration of Smart Distribution Network

Subject Areas : Renewable energy

Hasan  Keshavarz Ziarani ¹ (Department of Electrical Engineering- Qazvin Branch, Islamic Azad University, Qazvin, Iran)
Seyed Hossein  Hosseinian ² (Department of Electrical Engineering- Amirkabir University of Technology, Tehran, Iran.)
Ahmad  Fakharian ³ (Department of Electrical Engineering- Qazvin Branch, Islamic Azad University, Qazvin, Iran)

Received: 2022-04-24 Accepted : 2022-07-28 Published : 2024-02-20

Keywords: Demand Response Programs, Unit commitment, Self-healing, islanding micro-grid,

Abstract :

Self-Healing is the most essential feature for smart distribution network Restoration when a fault occurs. Islanding of the fault zone can be done both offline and online. Using the online islanding method to restoration the service in the fault zone, the boundary of islanding micro-grids and the number of islands can be determined optimally during the fault. In this study, a novel two-step mathematical method for self-healing restoration after the fault is presented. In the first layer, the optimal arrangement of the system in the faulty area is determined by a new mathematical model. In the first layer, the boundary of island-operating MGs is determined after the fault, which leads to decreasing load shedding and operation costs of the distribution system. Then, in the second layer, the unit commitment problem in the smart distribution system is solved. The load shedding or outage, non-dispatchable distributed generation (DG) resources rescheduling, and optimal planning energy storage systems (ESSs) are determined. Low execution time and the optimal solution are the most essential advantages of the pro­po­s­ed scheme. Tools such as smart load shedding and demand response Programs (DRP) have also been used for optimal system restoration. The IEEE 33-bus distribution system is used to validate the prop­osed method. The results of case studies demonstrate the effectiveness of the proposed methodology.

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