Optimal Self-Scheduling of Combined-Cycle Units Considering Reserve Provision during Transition Process

Chenxi Dai, Sandip Purnapatra, Lei Wu

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

3 Scopus citations

Abstract

In this paper, we propose a self-scheduling model of energy and reserve for combined-cycle gas turbines (CCGT). The hybrid CCGT model recently proposed by the authors is deployed for energy and reserve scheduling of CCGT operation. In addition, practical issue of CCGT scheduling in current market, i.e., reserve provision during transition process, is elaborately modeled. The proposed model is formulated as a mixed-integer linear programming (MILP) problem and solved via the state-of-the-art commercial solver. Numerical test results on a modified IEEE 118-bus system show effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2018 IEEE Power and Energy Society General Meeting, PESGM 2018
ISBN (Electronic)9781538677032
DOIs
StatePublished - 21 Dec 2018
Event2018 IEEE Power and Energy Society General Meeting, PESGM 2018 - Portland, United States
Duration: 5 Aug 201810 Aug 2018

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2018-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Country/TerritoryUnited States
CityPortland
Period5/08/1810/08/18

Keywords

  • Combined-cycle units
  • Energy and reserve scheduling
  • Reserve provision
  • Self-scheduling

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