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A feasibility pump based solution algorithm for two-stage robust optimization with integer recourses of energy storage systems

  • Cuo Zhang*
  • , Zhaoyang Dong
  • , Linfeng Yang
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

To address uncertainties, two-stage robust optimization (TSRO) methods have been widely used for power system operation and planning problems. However, solving TSRO problems with integer recourses of energy storage systems (ESSs) is challenging. This article proposes a feasibility pump based column and constraint generation (FP-CCG) solution algorithm to solve these TSRO problems. In this article, firstly, a TSRO problem of ESS operation with state-of-charge management is formulated. Then, the FP-CCG algorithm is proposed and applied to solve this TSRO problem. Simulation results indicate full solution robustness and high computation efficiency of the proposed FP-CCG solution algorithm. © 2021 IEEE.
Original languageEnglish
Pages (from-to)1834-1837
JournalIEEE Transactions on Sustainable Energy
Volume12
Issue number3
Online published20 Jan 2021
DOIs
Publication statusPublished - Jul 2021
Externally publishedYes

Research Keywords

  • Column and constraint generation
  • energy storage system
  • feasibility pump
  • integer recourse
  • mixed integer linear programming
  • two-stage robust optimization

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