Congestion risk-aware unit commitment with significant wind power generation

Sajjad Abedi, Miao He, Diran Obadina

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Large-scale and ubiquitous penetration of wind power generation to power systems necessitates more conservative provision of system reliability by ensuring adequately committed reserve and observance of transmission constraints. In addition, wind power curtailment due to the technical limitations of system operations, such as transmission congestion, should be efficiently mitigated. To this aim, this paper presents a congestion risk-aware unit commitment formulation in a two-settlement market environment. The uncertainty impact of multicorrelated wind power and contingencies on the risk of transmission congestion for each line, called the Line Transfer Margins (LTM), is incorporated using basic statistical data on the nodal wind power forecast and probability of credible line-outages across the system. The LTMs, formulated free of any distributional assumptions, collectively provide a measure for transmission reserves, which effectively mitigate the likelihood of transmission congestion, reserve undeliverability, and wind power curtailment in the real-time economic dispatch. The effectiveness of the proposed approach is verified through comparative case studies on IEEE RTS-96 for various wind power and LTM scenarios.

Original languageEnglish
Article number8352818
Pages (from-to)6861-6869
Number of pages9
JournalIEEE Transactions on Power Systems
Volume33
Issue number6
DOIs
StatePublished - Nov 2018

Keywords

  • Congestion management
  • line transfer margin
  • power system reliability
  • transmission reserve
  • unit commitment
  • wind power curtailment
  • wind power uncertainty

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