Wind-Friendly Flexible Ramping Product Design in Multi-Timescale Power System Operations

Brian Hodge, Mingjian Cui, Jie Zhang, Hongyu Wu

Research output: Contribution to journalArticlepeer-review

80 Scopus Citations

Abstract

With increasing wind power penetration in the electricity grid, system operators are recognizing the need for additional flexibility, and some are implementing new ramping products as a type of ancillary service. However, wind is generally thought of as causing the need for ramping services, not as being a potential source for the service. In this paper, a multi-timescale unit commitment and economic dispatch model is developed to consider the wind power ramping product (WPRP). An optimized swinging door algorithm with dynamic programming is applied to identify and forecast wind power ramps (WPRs). Designed as positive characteristics of WPRs, the WPRP is then integrated into the multi-timescale dispatch model that considers new objective functions, ramping capacity limits, active power limits, and flexible ramping requirements. Numerical simulations on the modified IEEE 118-bus system show the potential effectiveness of WPRP in increasing the economic efficiency of power system operations with high levels of wind power penetration. It is found that WPRP not only reduces the production cost by using less ramping reserves scheduled by conventional generators, but also possibly enhances the reliability of power system operations. Moreover, wind power forecasts play an important role in providing high-quality WPRP service.

Original languageAmerican English
Article number7805341
Pages (from-to)1064-1075
Number of pages12
JournalIEEE Transactions on Sustainable Energy
Volume8
Issue number3
DOIs
StatePublished - Jul 2017

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

NREL Publication Number

  • NREL/JA-5D00-68991

Keywords

  • Dynamic programming
  • economic dispatch
  • ramping reserve
  • swinging door algorithm
  • unit commitment
  • wind power ramping product

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