Short-Term and Medium-Term Reliability Evaluation for Power Systems With High Penetration of Wind Power

Yi Ding, Chanan Singh, Lalit Goel, Jacob Østergaard, Peng Wang

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The expanding share of the fluctuating and less predictable wind power generation can introduce complexities in power system reliability evaluation and management. This entails a need for the system operator to assess the system status more accurately for securing real-time balancing. The existing reliability evaluation techniques for power systems are well developed. These techniques are more focused on steady-state (time-independent) reliability evaluation and have been successfully applied in power system planning and expansion. In the operational phase, however, they may be too rough an approximation of the time-varying behavior of power systems with high penetration of wind power. This paper proposes a time-varying reliability assessment technique. Time-varying reliability models for wind farms, conventional generating units, and rapid start-up generating units are developed and represented as the corresponding universal generating functions (UGFs), respectively. A multistate model for a hybrid generation and reserve provider is also proposed based on the developed UGF representations of wind farms, conventional generating units, and rapid start-up generating units. The proposed technique provides a useful tool for the system operator to evaluate the reliability and arrange reserve for maintaining secure system operation in the short- as well as medium-terms.
Original languageEnglish
JournalIEEE Transactions on Sustainable Energy
Volume5
Issue number3
Pages (from-to)896-906
ISSN1949-3029
DOIs
Publication statusPublished - 2014

Keywords

  • Power, Energy and Industry Applications
  • Markov processes
  • Medium-term
  • Power system reliability
  • random process
  • reliability
  • short-term
  • universal generating function (UGF)
  • Wind farms
  • wind power
  • Wind power generation
  • Wind speed

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