What Is the Value of Alternative Methods for Estimating Ramping Needs?: Preprint

Evangelia Spyrou, Venkat Krishnan, Qingyu Xu, Benjamin Hobbs

Research output: Contribution to conferencePaper


Power system operators procure and deploy flexibility reserves or ramping products to address balancing needs caused by uncertainty and variability of load and generation. Existing methods estimate ramping needs using calendar information and historical forecast errors. Novel methods investigate if real-time weather information could inform ramping and other balancing requirements. This paper compares estimation methods for ramping requirements in theory and practice. The theoretical framework indicates when an alternative method could yield improved economic or reliability performance than existing methods by requiring lower or higher levels of ramping products. Preliminary simulations on a 118-bus test system for 4 days in May 2019 illustrate how system performance improves or deteriorates when ramping requirements are weather-informed (alternative) instead of calendar-based (baseline). Preliminary results suggest high variability in change of performance and underline the impact of additional factors, such as system conditions, on the realized performance change.
Original languageAmerican English
Number of pages9
StatePublished - 2020
Eventthe 2020 IEEE Green Technologies Conference (IEEE GreenTech) -
Duration: 1 Jan 20201 Jan 2020


Conferencethe 2020 IEEE Green Technologies Conference (IEEE GreenTech)

Bibliographical note

See NREL/CP-5D00-79158 for paper as published in proceedings

NREL Publication Number

  • NREL/CP-5D00-75544


  • flexibility
  • forecast errors
  • probabilistic forecasts
  • ramping product
  • reliability
  • renewable uncertainty


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