File(s) under permanent embargo
HPC-based intelligent Volt/VAr control of unbalanced distribution smart grid in the presence of noise
journal contribution
posted on 2017-05-01, 00:00 authored by Adnan AnwarAdnan Anwar, A N Mahmood, J Taheri, Z Tari, A Y Zomaya© 2010-2012 IEEE. The performance of Volt/VAr optimization has been significantly improved due to the integration of measurement data obtained from the advanced metering infrastructure of a smart grid. However, most of the existing works lack: 1) realistic unbalanced multi-phase distribution system modeling; 2) scalability of the Volt/VAr algorithm for larger test system; and 3) ability to handle gross errors and noise in data processing. In this paper, we consider realistic distribution system models that include unbalanced loadings and multi-phased feeders and the presence of gross errors such as communication errors and device malfunction, as well as random noise. At the core of the optimization process is an intelligent particle swarm optimization-based technique that is parallelized using high performance computing technique to solve Volt/VAr-based power loss minimization problem. Extensive experiments covering the different aspects of the proposed framework show significant improvement over existing Volt/VAr approaches in terms of both the accuracy and scalability on IEEE 123 node and a larger IEEE 8500 node benchmark test systems.
History
Journal
IEEE transactions on smart gridVolume
8Issue
3Pagination
1446 - 1459Publisher
Institute of Electrical and Electronics EngineersLocation
Piscataway, N.J.Publisher DOI
ISSN
1949-3053Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2017, IEEEUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC