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

Evangelia Spyrou, Venkat Krishnan, Qingyu Xu, Benjamin Hobbs

Research output: Contribution to conferencePaper

2 Scopus Citations

Abstract

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
Pages159-164
Number of pages6
DOIs
StatePublished - 2020
Event2020 IEEE Green Technologies Conference(GreenTech) - Oklahoma City, Oklahoma
Duration: 1 Apr 20203 Apr 2020

Conference

Conference2020 IEEE Green Technologies Conference(GreenTech)
CityOklahoma City, Oklahoma
Period1/04/203/04/20

Bibliographical note

See NREL/CP-5D00-75544 for preprint

NREL Publication Number

  • NREL/CP-5D00-79158

Keywords

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

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