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Fault Management in Power Distribution Systems Manual & Remote Switchings Timing and Repair Crew Scheduling

Jalilian, Ali | 2019

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 52368 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Safdarian, Amir
  7. Abstract:
  8. Prompt service restoration following faults has always been a concern to power distribution utilities. In this regard, optimal human resource allocation in post-fault service restoration can speed up field remedial actions which count for significant portion of service interruption duration. This thesis develops a fault management navigator that dispatches crews for field actions in a sequential service restoration until the network is restored to the normal state. The developed navigator effectively coordinates manual and remote switching actions as well as repair actions in the hope of achieving minimum service interruption cost. It tackles a real-time problem, periodically updating the decisions according to the crew locations, system loads, and traffic issues. The technical and operational constraints such as network radial configuration, branch thermal ratings, and statutory ranges for voltage magnitude are considered. The navigator is based on an optimization problem which is mathematically formulated as mixed integer linear programming (MILP). The proposed model for service restoration is then used to calculate the cost of customers outages to determine the optimal number and location of manual and remote control switches in the planning stage of distribution systems. The performance of this navigator is evaluated at first in the operation then in the planning level of distribution systems through its deployment in the IEEE 33 bus network. Evaluations confirm the efficiency of the model in routing and optimal allocation of human resources in fault conditions as well as in scheduling sectionalizers in power distribution networks with complex structures
  9. Keywords:
  10. Power Distribution ; Fault Management ; Field Crews ; Power System Reliability ; Manual Switch ; Remote Controlled Switch ; Load Recovery

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