<p>Recent seismic events have highlighted the need to enhance the resilience of electrical distribution systems to minimize prolonged service interruptions for end users. This paper introduces a risk-based resilience-oriented framework for reconfiguring active distribution systems to prioritize critical load supply in post-earthquake conditions. The risk-based framework comprises: (1) modeling earthquake characteristics, (2) assessing seismic component failures, and (3) implementing a resilience-focused reconfiguration strategy. Earthquake features are modeled using attenuation relationship, and component failure probabilities are evaluated through fragility curves and Monte Carlo Simulation. A two-step reconfiguration is then employed to restore critical loads using local Distributed Energy Resources (DERs). The first step maximizes the Restored Load Value while ensuring generation adequacy and maintaining a radial network structure. This step is formulated as a Tree Knapsack Problem and solved using a heuristic Depth-First Search-Particle Swarm Optimization approach. The second step validates the security of the reconfigured network using Optimal Power Flow, minimizing voltage deviations as the objective. The proposed methodology is applied to the IEEE 69-bus test system, considering the seismic vulnerabilities of substations, lines, and DERs, as defined by HAZUS. Simulation results demonstrate the framework's effectiveness, showing its potential as a decision-support tool for Distribution System Operators to enhance resilience and ensure critical load supply after earthquakes.</p>

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A risk-based framework to enhance post-earthquake resilience in reconfigurable active distribution networks

  • Mohsen Ghanbarizadeh,
  • Mohsen Simab,
  • Taher Niknam

摘要

Recent seismic events have highlighted the need to enhance the resilience of electrical distribution systems to minimize prolonged service interruptions for end users. This paper introduces a risk-based resilience-oriented framework for reconfiguring active distribution systems to prioritize critical load supply in post-earthquake conditions. The risk-based framework comprises: (1) modeling earthquake characteristics, (2) assessing seismic component failures, and (3) implementing a resilience-focused reconfiguration strategy. Earthquake features are modeled using attenuation relationship, and component failure probabilities are evaluated through fragility curves and Monte Carlo Simulation. A two-step reconfiguration is then employed to restore critical loads using local Distributed Energy Resources (DERs). The first step maximizes the Restored Load Value while ensuring generation adequacy and maintaining a radial network structure. This step is formulated as a Tree Knapsack Problem and solved using a heuristic Depth-First Search-Particle Swarm Optimization approach. The second step validates the security of the reconfigured network using Optimal Power Flow, minimizing voltage deviations as the objective. The proposed methodology is applied to the IEEE 69-bus test system, considering the seismic vulnerabilities of substations, lines, and DERs, as defined by HAZUS. Simulation results demonstrate the framework's effectiveness, showing its potential as a decision-support tool for Distribution System Operators to enhance resilience and ensure critical load supply after earthquakes.