Spatio-temporal analysis for smart grids with wind generation integration

Miao He, Lei Yang, Junshan Zhang, Vijay Vittal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

In this paper, we propose a spatio-temporal analysis approach for short-term forecasting of wind farm generation. Specifically, using extensive measurement data from an actual wind farm, the probability distribution and the level crossing rate (LCR) of wind farm generation are characterized by using tools from graphical learning and time-series analysis. Based on these spatial and temporal characterizations, finite state Markov chain models for wind farm generation are developed. Point-forecast of wind farm generation is derived using the Markov chains and integrated into power system economic dispatch. Numerical study on economic dispatch using the IEEE 30-bus test system demonstrates the significant improvement compared with conventional wind-speed-based forecasting methods.

Original languageEnglish (US)
Title of host publication2013 International Conference on Computing, Networking and Communications, ICNC 2013
Pages1107-1111
Number of pages5
DOIs
StatePublished - May 15 2013
Event2013 International Conference on Computing, Networking and Communications, ICNC 2013 - San Diego, CA, United States
Duration: Jan 28 2013Jan 31 2013

Publication series

Name2013 International Conference on Computing, Networking and Communications, ICNC 2013

Other

Other2013 International Conference on Computing, Networking and Communications, ICNC 2013
CountryUnited States
CitySan Diego, CA
Period1/28/131/31/13

Keywords

  • Smart grids
  • spatio-temporal analysis
  • wind farm generation forecast
  • wind generation integration

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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  • Cite this

    He, M., Yang, L., Zhang, J., & Vittal, V. (2013). Spatio-temporal analysis for smart grids with wind generation integration. In 2013 International Conference on Computing, Networking and Communications, ICNC 2013 (pp. 1107-1111). [6504247] (2013 International Conference on Computing, Networking and Communications, ICNC 2013). https://doi.org/10.1109/ICCNC.2013.6504247