Paper Info
Title
High Reporting Rate Smart Metering Data for Enhanced Grid Monitoring and Services for Energy Communities
Abstract
Capturing the dynamic behavior of the power distribution grids, especially under high penetration of renewables, is of high interest for grid operators. The distribution power grids are not fully observable due to lack of sufficient metering infrastructure, especially downstream of medium-voltage substations. Therefore, fusion of data recorded at significantly different reporting rates is proposed to increase the situational awareness of the system with non-negligible effect on the accuracy of the monitoring tool. Higher reporting rates are possible for next generation smart meters (SM), but they raise higher concerns about data privacy, already an issue for SM rollout. This article proposes a framework for knowledge extraction from high reporting-rate SM data. The process takes place at SM level and with low computation and communication costs and preserving user privacy, with the scope to increase the accuracy of the monitoring tools for distribution power grids. The methodology makes use of statistical metrics able to capture system dynamics relevant for network diagnosis. The proposed approach is validated on a three-phase low-voltage power flow model applied to a realistic testbed microgrid and real field measurements synchronized at 1 s.
Year
DOI
Venue
2022
10.1109/TII.2021.3095101
IEEE Transactions on Industrial Informatics
Keywords
DocType
Volume
Data privacy,dynamic behavior of power grids,high reporting rate smart meters (HRRSM),quality of supply (QoS),technological knowledge extraction
Journal
18
Issue
ISSN
Citations 
6
1551-3203
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Mihai Sanduleac100.34
Irina Ciornei200.34
Lucian Toma300.34
Radu Plamnescu400.34
Ana Maria Dumitrescu500.34
Mihaela M. Albu600.34