Flexible Robust Unit Commitment Considering Subhourly Wind Power Ramp Behaviors

Bo Hu, Yuzhong Gong, C. Y. Chung

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

2 Citations (Scopus)

Abstract

The focus of existing studies on day ahead unit commitment (DAUC) considering wind power have mainly been on the hourly operation constraints. However, if the sub-hourly wind power variations are not carefully considered, the obtained unit commitment (UC) solutions may not be flexible enough to accommodate the sub-hourly wind variations and results in wind curtailments. To ensure the full utilization of wind power, in this paper a robust optimization-based UC model considering sub-hourly wind power variation is proposed. The objective is to provide a flexible and robust UC solution for the thermal units, which ensures sufficient ramp up and ramp down reserves for the variations of wind power in the intra-hour time frame. Firstly, a non-parametric approach based on the 2-dimensional kernel density estimation is proposed to quantify the sub-hourly wind power variability. Then, based on the quantification results, a set of ramp constraints are imposed on the robust UC model. A column and constraint generation method is applied to solve the improved UC model. The proposed model is tested and compared with conventional UC models on IEEE 39 bus test system to verify its effectiveness.

Original languageEnglish
Title of host publication2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728103198
DOIs
Publication statusPublished - May 2019
Externally publishedYes
Event2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019 - Edmonton, Canada
Duration: 5 May 20198 May 2019

Publication series

Name2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019

Conference

Conference2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019
Country/TerritoryCanada
CityEdmonton
Period5/05/198/05/19

Keywords

  • column and constraint generation (CCG)
  • kernel density estimation (KDE)
  • robust optimization
  • unit commitment (UC)
  • wind power

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Radiology Nuclear Medicine and imaging

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