A new approach for frequency based short-term reliability for a power system

Kofi Afrifa Agyeman, Sekyung Han, Ryota Umezawa

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

Abstract

In this work, we provide a completely new approach for a short-term power system reliability that can be utilized for system operation planning. The proposed index incorporates the system frequency as a reliability of the grid and its deviation over a short time period. Although frequency performance is often employed as a quality metric for the past system operation, our model can address the future system condition by forecasting the statistics of the system frequency for a specific operation condition. In our model, demand, renewable source, battery and generators are stochastically incorporated. Using the equilibrium of demand and supply, and the physical constraints of automatic generation control (AGC), a model is developed, from which the system frequency distribution is obtained. From the contrived system frequency, statistical function, referred to herein as Frequency Reliability Distribution Function (FRDF), is proposed from which various criteria could be developed for short-term reliability. The developed FRDF along with the pertaining metrics are utilized for some case studies with IEEE reliability test system.

Original languageEnglish
Title of host publication2016 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509019700
DOIs
StatePublished - 1 Dec 2016
Event2016 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2016 - Beijing, China
Duration: 16 Oct 201620 Oct 2016

Publication series

Name2016 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2016 - Proceedings

Conference

Conference2016 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2016
Country/TerritoryChina
CityBeijing
Period16/10/1620/10/16

Keywords

  • reliability index
  • renewable energy
  • smart grid
  • Spinning reserve
  • system frequency control

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