Work

Robust post-disaster repair crew dispatch for distribution systems considering the uncertainty of switches

Year: 2023

Type: article

Abstract: After natural disasters' strike, the remote-controlled switch plays a key role in network reconfiguration to restore the critical load. However, the status of these switches is hardly acquired because of cyber malfunctions. This paper proposes a robust repair crew dispatch approach for distribution systems considering the uncertainty of remote-controlled switches. The proposed approach is formulated as a tri-level robust optimization model to obtain the repair crew dispatch strategy applicable to possible fault scenarios. The system operator determines the repair crew dispatch scheme at the first level. At the second level, the real-time status of switches under different combinations of faults and repair processes is modeled and the worst fault scenario is calculated. Based on the real-time status of switches, the operator utilizes distributed generators and network reconfiguration to restore loads. A nested column-and–constraint generation (NC&CG) algorithm is customized for the proposed robust model to achieve the optimal solution. Simulation results on the IEEE-33 node distribution test system show the proposed approach can effectively reduce the maximum system loss and the NC&CG algorithm can obviously reduce the calculation time.

Source: International Journal of Electrical Power & Energy Systems

DOI: 10.1016/j.ijepes.2023.109550

Authors: Hao Zhu, Haipeng Xie, Lingfeng Tang, Xiaoyang Wang, Jianlong Gao, Zhaohong Bie

Institutions: State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University

Language: English

Topic: Optimal Power Flow Distribution

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: hybrid

Estimated APC paid: $2,800