Robust offering strategy for a wind power producer under uncertainties

Jiayong Li, Can Wan, Zhao Xu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

In the deregulated electricity market, wind power producers (WPPs) are required to submit their generation profile in the day-ahead (DA) market. The consideration of uncertainties associated with price and wind power become crucial to facilitate decision making and risk hedging for WPPs. In this paper, a bidding strategy based on robust optimization is proposed under two trading floors, namely DA market and balancing market. This approach has merits on modelling multiple uncertainties. In addition, the original nonconvex bi-level problem is reformulated into a LP master problem and a MILP subproblem by employing decomposition and linearization techniques. Case studies based on Nodic market demonstrate the effectiveness of the proposed approach.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
PublisherIEEE
Pages752-757
Number of pages6
ISBN (Electronic)9781509040759
DOIs
Publication statusPublished - 8 Dec 2016
Event7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 - Sydney, Australia
Duration: 6 Nov 20169 Nov 2016

Conference

Conference7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
CountryAustralia
CitySydney
Period6/11/169/11/16

Keywords

  • balancing cost
  • Benders Decomposition
  • day-ahead market
  • robust optimization
  • uncertainty
  • wind power producer

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Signal Processing

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