Fault Recovery Strategy for Power–Communication Coupled Distribution Network Considering Uncertainty

Sizu Hou, Yisu Hou (), Baikui Li and Ziqi Wang
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Sizu Hou: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Yisu Hou: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Baikui Li: CEPRI, China Electric Power Research Institute, Beijing 100192, China
Ziqi Wang: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

Energies, 2023, vol. 16, issue 12, 1-21

Abstract: In the face of multiple failures caused by extreme disasters, the power and communication sides of the distribution network are interdependent in the fault recovery process. To improve the post-disaster recovery efficiency of the distribution network, this paper proposes a coordinated optimization strategy for distribution network reconfiguration and repair, which integrates the power and communication aspects. First, the recovery process is divided into islanding–reconfiguration and dynamic emergency repair. The coupling relationship between power and communication is considered; that is, power failure may cause communication nodes to lose power, and communication failure may affect the effective operation of remote control devices. Based on this, the fault recovery process is optimized with the objective of maximizing load transfer and direct recovery while introducing a stochastic model predictive control method to handle the uncertainty of distributed power generation by rolling optimization of typical scenarios. Finally, the effectiveness of the proposed strategy is verified using an improved IEEE33-node distribution network system. The simulation results show that the proposed method can recover power to the maximum extent and reduce loss while ensuring the safe and stable operation of the distribution system.

Keywords: distribution network; fault recovery; power–communication coupling; uncertainty processing; stochastic model predictive control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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