Tight Mixed-Integer Linear Programming Formulation for Energy Storage Assets in NCUC Problem

Zao Tang, Junyong Liu, Yafei Yang, Lei Wu, Youbo Liu, Jichun Liu

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

4 Scopus citations

Abstract

This paper presents a tight model of ideal and generic storage systems in the network-constrained unit commitment (NCUC) problem. Specifically, compared with the basic storage model, the minimum charging and discharging time requirement as well as the cycle limit of energy storage assets are introduced. Moreover, we introduce a new class of inequality constraints to provide a tighter description of feasible operation strategies. Numerical experiments on a modified IEEE 118-bus system with energy storage systems demonstrate the significant reduction in switching times and computational efforts to reach optimal solutions.

Original languageEnglish
Title of host publication2019 IEEE Power and Energy Society General Meeting, PESGM 2019
ISBN (Electronic)9781728119816
DOIs
StatePublished - Aug 2019
Event2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States
Duration: 4 Aug 20198 Aug 2019

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2019-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/TerritoryUnited States
CityAtlanta
Period4/08/198/08/19

Keywords

  • Network-constrained unit commitment
  • energy storage
  • tighter formulation

Fingerprint

Dive into the research topics of 'Tight Mixed-Integer Linear Programming Formulation for Energy Storage Assets in NCUC Problem'. Together they form a unique fingerprint.

Cite this