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Advanced Resilience Planning for Distribution Systems

Ahmad Bin Afzal, Nabil Mohammed, Shehab Ahmed, Charalambos Konstantinou

Abstract

Climate change has led to an increase in the frequency and severity of extreme weather events, posing significant challenges for power distribution systems. In response, this work presents a planning approach in order to enhance the resilience of distribution systems against climatic hazards. The framework systematically addresses uncertainties during extreme events, including weather variability and line damage. Key strategies include line hardening, backup diesel generators, and sectionalizers to strengthen resilience. We model spatio-temporal dynamics and costs through a hybrid model integrating stochastic processes with deterministic elements. A two-stage stochastic mixed-integer linear approach is developed to optimize resilience investments against load loss, generator operations, and repairs. Case studies on the IEEE 15-bus benchmark system and a realistic distribution grid model in Riyadh, Saudi Arabia demonstrate enhanced system robustness as well as cost efficiency of 10% and 15%, respectively.

Advanced Resilience Planning for Distribution Systems

Abstract

Climate change has led to an increase in the frequency and severity of extreme weather events, posing significant challenges for power distribution systems. In response, this work presents a planning approach in order to enhance the resilience of distribution systems against climatic hazards. The framework systematically addresses uncertainties during extreme events, including weather variability and line damage. Key strategies include line hardening, backup diesel generators, and sectionalizers to strengthen resilience. We model spatio-temporal dynamics and costs through a hybrid model integrating stochastic processes with deterministic elements. A two-stage stochastic mixed-integer linear approach is developed to optimize resilience investments against load loss, generator operations, and repairs. Case studies on the IEEE 15-bus benchmark system and a realistic distribution grid model in Riyadh, Saudi Arabia demonstrate enhanced system robustness as well as cost efficiency of 10% and 15%, respectively.
Paper Structure (18 sections, 23 equations, 5 figures, 3 tables)

This paper contains 18 sections, 23 equations, 5 figures, 3 tables.

Table of Contents

  1. Introduction
  2. Resilience Planning Framework
  3. First Stage Problem and Decisions
  4. Uncertainty Analysis
  5. Second Stage Problem
  6. Cost Objective Function
  7. Line Damage Status Constraint
  8. Line Repair Cost Constraint
  9. Line’s On-Off Status Constraints
  10. Line Flow Limits
  11. Linearized DistFlow Equations
  12. Voltage Magnitude Limits
  13. Load Shedding Ratio Limit
  14. DG Capacity Limits and Status
  15. Results
  16. ...and 3 more sections

Figures (5)

  • Figure 1: Overall concept of the resilience-driven framework.
  • Figure 2: IEEE 15-bus distribution system.
  • Figure 3: Saudi Consolidated Electricity Central Region Riyadh, Saudi Arabia, adopted from 26.
  • Figure 4: Load shedding cost comparison with and without ROD under different scenarios on the SEC system.
  • Figure 5: Load Shedding cost comparison with and without ROD under different scenarios on the IEEE 15 bus system.