Title
LTE delay assessment for real-time management of future smart grids
Author
Jorguseski, L.
Zhang, H.
Chrysalos, M.
Golinski, M.
Toh, Y.
Contributor
Yang, K. (editor)
Leung, V.C.M. (editor)
Zhang, Y. (editor)
Yang, S. (editor)
Hu, J. (editor)
Gao, J. (editor)
Publication year
2017
Abstract
This study investigates the feasibility of using Long Term Evolution (LTE), for the real-time state estimation of the smart grids. This enables monitoring and control of future smart grids. The smart grid state estimation requires measurement reports from different nodes in the smart grid and therefore the uplink LTE radio delay performance is selected as key performance indicator. The analysis is conducted for two types of measurement nodes, namely smart meters (SMs) and wide area monitoring and supervision (WAMS) nodes, installed in the (future) smart grids. The SM and WAMS measurements are fundamental input for the real-time state estimation of the smart grid. The LTE delay evaluation approach is via ‘snap-shot’ system level simulations of an LTE system where the physical resource allocation, modulation and coding scheme selection and retransmissions are modelled. The impact on the LTE delay is analyzed for different granularities of LTE resource allocation, for both urban and suburban environments. The results show that the impact of LTE resource allocation granularity on delay performance is more visible at lower number of nodes per cell. Different environments (with different inter-site distances) have limited impact to the delay performance. In general, it is challenging to reach a target maximum delay of 1 s in realistic LTE deployments (This work is partly funded by the FP7 SUNSEED project, with EC grant agreement no: 619437.). © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017.
Subject
ICT
NTW - Networks
TS - Technical Sciences
Benchmarking
Electric power transmission networks
Resource allocation
Smart power grids
State estimation
Different granularities
Key performance indicators
Measurement reports
Modulation and coding schemes
Monitoring and control
Real-time management
System level simulation
Wide area monitoring
Long Term Evolution (LTE)
To reference this document use:
http://resolver.tudelft.nl/uuid:c124e7f2-236f-46ae-86e5-9044b3501d03
DOI
https://doi.org/10.1007/978-3-319-47729-9_21
TNO identifier
575111
Publisher
Springer Verlag
ISBN
9783319477282
ISSN
1867-8211
Source
1st International Conference on Smart Grid Inspired Future Technologies, SmartGIFT 2016. 19 May 2016 through 20 May 2016, 175, 204-213
Series
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Document type
conference paper