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Developing an Efficient Framework for Investigating the Abilities of Network Reconfiguration in Improving Operational Resilience of Distribution System
, M.Sc. Thesis Sharif University of Technology ; Fotuhi-Firuzabad, Mahmud (Supervisor)
Abstract
Necessity of uninterruptable electricity supply is one of the most fundamental needs nowadays. To achieve this, power system are designed and operated based on adequacy and security metrics which are based on reliability. Despite efficient influence of these metrics in normal condition, they do not have appropriate function while facing natural weather disasters. Since these events are low probability, these event do not affect adequacy metrics incredibly. Additionally, reliability metrics are compute base on intrinsic failure rate of component while each weather disaster causes specific failure rate. Furthermore, number of failures in such events is too many to be handled by N-1 operation...
Fault Management in Power Distribution Systems Manual & Remote Switchings Timing and Repair Crew Scheduling
,
M.Sc. Thesis
Sharif University of Technology
;
Safdarian, Amir
(Supervisor)
Abstract
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...
Optimal Network Hardening to Enhance Distribution Networks Resiliency Against Hurricane
, M.Sc. Thesis Sharif University of Technology ; Safdarian, Amir (Supervisor)
Abstract
Back then and still now natural calamities have been a serious threat for energy systems. On that front, this thesis constitutes a three-stage mixed integer linear programming (MILP) model to enhance the resilience of power distribution systems to deal with disas-trous events. The proposed model involves in pre-, mid-, and post-event stages. In this con-text, to increase the preparedness of the power distribution system, system operator recon-figures the system by taking benefit of remote-control switches (RCSs), manual switches (MSs), and distributed generations (DGs) before the natural calamity hits. The proposed model contemplates the traveling time of crew teams to the MS sites in order...