An MILP Formulation for the Unit Commitment Problem Based on State Transitions

  • Nianjie Tian
  • , Shijin Tian
  • , Jiang Dai
  • , Chong Tang
  • , Yang Xiao
  • , Tao Ding

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

1 Scopus citations

Abstract

This paper proposes a method for establishing unit commitment (UC) problems based on state transitions. Specifically, this paper utilizes states to demonstrate the characteristics of generators, generates all relationships between these states, and establishes UC problems as a mixed-integer linear programming model. Due to this state transition formulation only requires describing the characteristics as states and their state transition relationships, this state transition formulation for UC problems permits more complex operation characteristics. Numerical experiments are conducted in this paper to verify the effectiveness of the state transition formulation for UC problems.

Original languageEnglish
Title of host publication2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages758-762
Number of pages5
ISBN (Electronic)9798350349030
DOIs
StatePublished - 2024
Event2nd IEEE International Conference on Power Science and Technology, ICPST 2024 - Dali, China
Duration: 9 May 202411 May 2024

Publication series

Name2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024

Conference

Conference2nd IEEE International Conference on Power Science and Technology, ICPST 2024
Country/TerritoryChina
CityDali
Period9/05/2411/05/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • mixed-integer linear programming
  • state transitions
  • unit commitment

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