Graph partitioning-based zonal reserve allocation for congestion management in power systems with wind resources

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Real-time actuation of scheduled reserve capacity in power system operations with high penetration of wind power is prone to failure on account of unexpected shortcomings in network transfer capability. In this paper, a graph partitioning-based reserve zoning method is incorporated into the security-constrained unit commitment to improve the deliverability of operating reserves in a reserve zone and mitigate possible congestions caused by uncertain wind power. A graph representation of power system is proposed in which the edge weights are quantified by the likelihood of secure transmission utilization for each line. The probability distribution of line flows are characterized by the uncertainty of multiple correlated wind farm output forecasts as well as credible line outage contingencies reflected on the line flows using distribution factors. The minimum k-cut problem using the Gomory-Hu equivalent tree is addressed as a simple and efficient method to solve the NP-complete partitioning problem. The resultant zones can assure reduced risk of congested operating conditions and thus, provide a new approach to efficient management of intra-zonal congestions.

Original languageEnglish
Title of host publicationNAPS 2016 - 48th North American Power Symposium, Proceedings
EditorsDavid Wenzhong Gao, Jun Zhang, Amin Khodaei, Eduard Muljadi
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509032709
DOIs
StatePublished - Nov 17 2016
Event48th North American Power Symposium, NAPS 2016 - Denver, United States
Duration: Sep 18 2016Sep 20 2016

Publication series

NameNAPS 2016 - 48th North American Power Symposium, Proceedings

Conference

Conference48th North American Power Symposium, NAPS 2016
CountryUnited States
CityDenver
Period09/18/1609/20/16

Keywords

  • congestion management
  • graph partitioning
  • minimum k-cut
  • reserve deliverability
  • reserve zoning
  • unit commitment
  • wind power uncertainty

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    Abedi, S., He, M., & Giesselmann, M. (2016). Graph partitioning-based zonal reserve allocation for congestion management in power systems with wind resources. In D. W. Gao, J. Zhang, A. Khodaei, & E. Muljadi (Eds.), NAPS 2016 - 48th North American Power Symposium, Proceedings [7747960] (NAPS 2016 - 48th North American Power Symposium, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NAPS.2016.7747960