Abstract
It is anticipated that the growing number of distributed energy resources and other cyber physical components of smart grids will make the management of the distribution grid more complex. In this survey paper, four discernible challenges related to big data and the enablement of autonomous grid operation are investigated: (1) the technical readiness level of cloud computing services, (2) limitations of wireless telecommunication technology, (3) smart meter related privacy issues and (4) the intrinsic uncertainty in data analytics. The investigated challenges indicate that the current performance of cloud computing and wireless telecommunication technology do not readily enable autonomous decentralized secondary control of power systems. Moreover, technical and legislative solutions have to be developed to ensure consumer privacy, prior to applying data analytics on smart meter data.
Original language | English |
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Title of host publication | 2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1437-1442 |
Number of pages | 6 |
ISBN (Electronic) | 9781479979936 |
DOIs | |
Publication status | Published - 1 Jan 2015 |
Event | 15th International Conference on Environment and Electrical Engineering (EEEIC 2015) - Rome, Italy Duration: 10 Jun 2015 → 13 Jun 2015 Conference number: 15 |
Conference
Conference | 15th International Conference on Environment and Electrical Engineering (EEEIC 2015) |
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Abbreviated title | EEEIC 2015 |
Country/Territory | Italy |
City | Rome |
Period | 10/06/15 → 13/06/15 |
Keywords
- big data analytic
- cloud computing
- distributed resource
- privacy
- smart meters