Date of Award:
5-2016
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Electrical and Computer Engineering
Committee Chair(s)
Jacob H. Gunther
Committee
Jacob H. Gunther
Committee
Don Cripps
Committee
Bedri Cetiner
Abstract
The gathered data from smart meters in current advanced metering infrastructure (AMI) of smart grid is huge. This much data causes serious challenges for reliability, performance, and scalability of smart grid. Therefore, we have investigated the scalability of different AMI architectures and proposed a scalable hybrid AMI architecture. We formulated deployment cost of different AMI architecture and used a genetic-based algorithm to minimize the deployment cost for the proposed architecture. We simulated different AMI architectures for five demographic regions and the results proved that our proposed AMI hybrid architecture has a better scalability compared to other AMI architectures.
Checksum
e5240ff3705fe877929d35a4096da779
Recommended Citation
Ghasempour, Alireza, "Optimizing the Advanced Metering Infrastructure Architecture in Smart Grid" (2016). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 5023.
https://digitalcommons.usu.edu/etd/5023
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