*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
Title: Distribution System Service Restoration by Dynamic Programming Considering Switch Characteristics
Committee:
Dr. Sakis Meliopoulos, ECE, Chair , Advisor
Dr. Andy Sun, ISyE
Dr. Maryam Saeedifard, ECE
Dr. Ying Zhang, ECE
Dr. Lukas Graber, ECE
Dr. Shijie Deng, ISyE
Abstract:
The objective of the proposed research is to develop a systematic approach of finding the optimal switching sequence leading to optimal post-fault topology in distribution system restoration (DSR) problem. The purpose of DSR is to reconfigure the topology of distribution system through switching actions to restore power to customers subject to system faults. Many existing methods formulate DSR problems as single-step optimization problem where the only control devices are remotely controllable sectionalizers. The problem with this approach is that when various kinds of switches are present in the distribution system, certain sequence of switching actions need to be followed based on the different characteristics of the switches, which is not considered by the single-step optimization formulations. To the best of our knowledge, there hasn't been research reported in the literature that considers the characteristics of switches and couples the constraints in the optimization problem to derive feasible switching sequences in a systematic and mathematically rigorous way. By formulating the DSR problem as a dynamic programming (DP) problem, the solution can be found in a systematic way with guaranteed optimality. Switch current limits as well as system operational constraints are considered in the formulation. Scalability to larger systems and related computational issues are discussed.
