Abstract
One of the first major, widespread deployments of an Internet of Things (IoT) system is an electric utility’s smart-grid communications network. Communication networks support utility smart-grids for an electrical power provider by linking industrial IoT devices on the grid, such as residential and commercial customers’ electric meters to the utility’s data center. A new solution methodology and software tool is applied to the optimization of an electric utility smart-grid communications network. This research provides utilities with a technique to reduce cost of new and current communications networks for smart-grid programs. This research introduces the use of a new advanced optimization heuristic and solver effective for this problem. Interval-flow networks and associated solution methods offer a new approach to modeling and optimization that can readily capture the hierarchical structure of these minimum-cost network-topology optimization problems, and can quickly solve large-scale network instances. Computational experiments provide insight into the effect that key situational and practitioner decisions have on resulting designs. This work promises a methodology and tool useful to practitioners responsible for smart-grid communications network realization.
Degree Date
Spring 5-12-2018
Document Type
Dissertation
Degree Name
Ph.D.
Department
Engineering Management, Information, and Systems
Advisor
Richard S. Barr
Second Advisor
Eli V. Olinick
Third Advisor
Michael Hahsler
Number of Pages
191
Format
Recommended Citation
Klinkert, Anthony J., "Designing Smart-grid Telecommunications Systems via Interval Flow Network Optimization" (2018). Operations Research and Engineering Management Theses and Dissertations. 1.
https://scholar.smu.edu/engineering_managment_etds/1
