University of Oulu

I. Ramezanipour, P. H. J. Nardelli, M. C. Tomé and H. Alves, "Decision error probability in a two-stage communication network for smart grids with imperfect links," 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), Dresden, 2017, pp. 195-199. doi: 10.1109/SmartGridComm.2017.8340663

Decision error probability in a two-stage communication network for smart grids with imperfect links

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Author: Ramezanipour, Iran1; Nardelli, Pedro H. J.1; Tomé, Mauricio C.1;
Organizations: 1Centre for Wireless Communications (CWC), Department of Electrical Engineering and Information Technology (ITEE), University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2017122156014
Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-05-28
Description:

Abstract

This paper analyzes a scenario where the distribution system operator needs to estimate whether the average power demand in a given period is above a predetermined threshold using a 1-bit memoryless scheme. Specifically, individual smartmeters periodically monitor the average power demand of their respective households to inform the system operator if it is above a predetermined level using only a 1-bit signal. The communication link between the meters and the operator occurs in two hops and is modeled as binary symmetric channels. The first hop connects individual smart meters to their corresponding aggregator, while the second connects different aggregators to the system operator. A decision about the power demand also happens in two stages based on the received information bit. We consider here three decision rules: AND, OR and MAJORITY. Our analytical results indicate the circumstances (i.e. how frequent the meters experience the consumption above the defined threshold) and the design setting (i.e. decision rules) that a low error probability can be attained. We illustrate our approach with numerical results from actual daily consumptions from 12 households and 3 aggregators.

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ISBN: 978-1-5386-0943-9
ISBN Print: 978-1-5386-2401-2
Pages: 195 - 199
Host publication: 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), Dresden, 2017
Conference: 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), Dresden, 2017
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work is partly supported by SRC/Aka BCDC Energy (Grant n. 292854)
Academy of Finland Grant Number: 292854
Detailed Information: 292854 (Academy of Finland Funding decision)
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