Resilience-Motivated Service Restoration of Interdependent Power and Hydrogen Distribution System

Abstract

The interdependence between power and other energy systems can improve flexibility and enhance resilience. In this paper, a service restoration method for the interdependent power and hydrogen distribution system (IPHDS) is proposed. During the outage, local resources such as distributed generations and stored hydrogen can be allocated to satisfy the electricity, heat, and hydrogen demands of critical customers. The restoration problem is formulated as a mixed-integer second-order cone program (MISOCP), which incorporates a flexible load model, power distribution system (PDS) operational constraints, and hydrogen supply system (HSS) constraints with convex relaxation. To guarantee online decision-making, a relaxation inducement method is proposed to accelerate the computation of MISOCP, by inducing binary variables towards the tendency of the optimal solution. Three inducing rules are designed for three types of binary variables in the service restoration problem considering their physical properties. An IPHDS developed by benchmark models of the two subsystems is used to validate the proposed method. The results indicate that considering interdependency can refine the allocation of limited generation resources to satisfy the multiple energy demands of critical customers as much as possible. In addition, the proposed relaxation inducement method can significantly speed up the computation.

Keywords

• Distribution network restoration
• power distribution networks
• resilience
• resiliency
• power system restoration