Efficient decentralized economic dispatch for microgrids with wind power integration

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

21 Scopus citations

Abstract

Decentralized energy management is of paramount importance in smart micro grids with renewables for various reasons including environmental friendliness, reduced communication overhead, and resilience to failures. In this context, the present work deals with distributed economic dispatch and demand response initiatives for grid-connected micro grids with high-penetration of wind power. To cope with the challenge of the wind's intrinsically stochastic availability, a novel energy planning approach involving the actual wind energy as well as the energy traded with the main grid, is introduced. A stochastic optimization problem is formulated to minimize the micro grid net cost, which includes conventional generation cost as well as the expected transaction cost incurred by wind uncertainty. To bypass the prohibitively high-dimensional integration involved, an efficient sample average approximation method is utilized to obtain a solver with guaranteed convergence. Leveraging the special infrastructure of the micro grid, a decentralized algorithm is further developed via the alternating direction method of multipliers. Case studies are tested to corroborate the merits of the novel approaches.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 6th Annual IEEE Green Technologies Conference, GREENTECH 2014
PublisherIEEE Computer Society
Pages7-12
Number of pages6
ISBN (Print)9781479939336
DOIs
StatePublished - 2014
Event2014 6th Annual IEEE Green Technologies Conference, GREENTECH 2014 - Corpus Christi, TX, United States
Duration: Apr 3 2014Apr 4 2014

Publication series

NameIEEE Green Technologies Conference
ISSN (Electronic)2166-5478

Other

Other2014 6th Annual IEEE Green Technologies Conference, GREENTECH 2014
CountryUnited States
CityCorpus Christi, TX
Period4/3/144/4/14

Keywords

  • ADMM
  • Microgrids
  • economic dispatch
  • renewable energy
  • sample average approximation

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