An Assessment of Flexibility Reserves in Stochastic Modeling at Multiple Timescales

Ibrahim Krad, David Gao, Hongyu Wu

Research output: Contribution to journalArticle


Due to recent technological achievements, stochastic optimization, which inherently captures the uncertainty of intermittent resources, is being used to capture the variability and uncertainty of wind and solar resources. However, due to persistent computational limitations, it is not practical to consider all possible variable generation scenarios. As a result, a reduced number of most likely scenarios is usually considered. While this helps reduce the computational burden, it also leaves the system operator vulnerable to some risk. In order to address this issue, this paper aims at providing insight into using an explicit reserve requirement in a stochastic modeling framework in order to provide system operators with greater confidence in stochastic dispatch solutions. This is accomplished by simulating a modified version of the IEEE 118 bus system in a fully stochastic, multi-timescale framework with flexibility reserve requirements. Results show that utilizing a stochastic flexibility reserve requirement within the stochastic modeling framework offers the most reliability benefit.
Original languageAmerican English
Pages (from-to)84-92
Number of pages9
JournalZhongguo Dianli/Electric Power
Issue number1
StatePublished - 2017

NREL Publication Number

  • NREL/JA-5D00-67211


  • operating reserves
  • reserve scheduling
  • SCED
  • SCUC
  • security constrained economic dispatch
  • security constrained unit commitment
  • stochastic optimization


Dive into the research topics of 'An Assessment of Flexibility Reserves in Stochastic Modeling at Multiple Timescales'. Together they form a unique fingerprint.

Cite this