A robust interval economic dispatch model accommodating large-scale wind power generation with consideration of price-based demand response

  • Liudong Zhang
  • , Yubo Yuan
  • , Bing Chen
  • , Dawei Su

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

3 Scopus citations

Abstract

Demand response can promote large-scale wind power accommodation via utilizing demand side resources to participate in power systems dispatch. Because the wind power uncertainty is neglected and the probabilistic model of wind power forecast error is difficult to be accurately obtained in the existing wind power dispatch models considering demand response, the impacts of wind power uncertainty on demand response load regulation are unable to be accurately evaluated. By utilizing the interval information of wind power forecast which can be conveniently obtained, the robust interval optimization method can be used to achieve the joint optimization of dynamic demand response load regulation and uncertain wind power accommodation. Therefore, a price-based demand response model is introduced to the conventional robust interval dynamic economic dispatch model, an hours-ahead robust interval economic dispatch model accommodating large-scale wind power with consideration of price-based demand response is developed and its solution method based on linear programming is proposed in this paper. Simulation studies on the IEEE 26-generator reliability test system connected to a wind farm are presented to verify the effectiveness and advantage of the proposed model.

Original languageEnglish
Title of host publicationProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6679-6684
Number of pages6
ISBN (Electronic)9781509046560
DOIs
StatePublished - 12 Jul 2017
Externally publishedYes
Event29th Chinese Control and Decision Conference, CCDC 2017 - Chongqing, China
Duration: 28 May 201730 May 2017

Publication series

NameProceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

Conference

Conference29th Chinese Control and Decision Conference, CCDC 2017
Country/TerritoryChina
CityChongqing
Period28/05/1730/05/17

Keywords

  • Demand Response
  • Robust Interval Optimization
  • Uncertainty
  • Wind Power Accommodation

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