Resilience-based post-earthquake recovery strategies for substation systems

Abstract

Electrical substation systems require significant manpower and material resources for repair after an earthquake; thus, repair efficiency directly affects economic loss. To quantify the functional recovery process of substation systems, this study proposes a seismic resilience assessment framework based on the functional characteristics of substation systems. Reliability models of the equipment and systems were constructed to characterise the structural connection features and power transmission paths of substation systems, and the system functional state matrix was obtained through a seismic simulation. Moreover, factors influencing functional recovery and repair path control parameters were proposed to determine efficient post-earthquake recovery strategies. The Monte Carlo method was used to construct a post-earthquake recovery strategy analysis framework for a substation system. By analysing a typical 220 kV substation using static-based repair strategies, we obtained the functional recovery process and seismic resilience level. Furthermore, based on the actual functional requirements, a dynamic recovery strategy analysis method was proposed based on an improved genetic algorithm. Notably, optimal recovery strategies for different earthquake intensities and recovery priorities were obtained through iterative reproduction analysis.