Autonomous control of distributed energy resources via wireless machine-to-machine communication; A survey of big data challenges

S. Subhani, M. Gibescu, W.L. Kling

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

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 languageEnglish
Title of host publication2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers
Pages1437-1442
Number of pages6
ISBN (Electronic)9781479979936
DOIs
Publication statusPublished - 1 Jan 2015
Event15th IEEE International Conference on Environment and Electrical Engineering, (EEEIC 2015) - Rome, Italy
Duration: 10 Jun 201513 Jun 2015

Conference

Conference15th IEEE International Conference on Environment and Electrical Engineering, (EEEIC 2015)
Abbreviated titleEEEIC2015
CountryItaly
CityRome
Period10/06/1513/06/15

Keywords

  • big data analytic
  • cloud computing
  • distributed resource
  • privacy
  • smart meters

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