Supplementing spinning reserves with demand response under wind generation uncertainty

Wolf Peter Jean Philippe, Mirjavad Hashemi, Yi Zhou, Sara Eftekharnejad, Ansumana Bangura

Research output: Chapter in Book/Entry/PoemConference contribution

Abstract

Grid operators are required to keep a certain level of spinning reserves to ensure system reliability. To keep the same level of reliability in systems with increased penetration of intermittent generation resources, such as wind and solar, these spinning reserves should be increased, leading to increased operations costs. This paper investigates the capability of demand response in eliminating the need for additional spinning reserves in systems with high levels of uncertainty due to wind resources. Demand response is modeled as a responsive load in which customers change their energy consumption with respect to change in the price of electricity. The cost of spinning reserves is computed using a day-ahead unit commitment and economic dispatch, while capturing load and generation uncertainties. Numerical simulations on a testbed power system indicate that an effective demand response program can offset the cost of operations by reducing the need for additional spinning reserves.

Original languageEnglish (US)
Title of host publication2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728131030
DOIs
StatePublished - Feb 2020
Event2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 - Washington, United States
Duration: Feb 17 2020Feb 20 2020

Publication series

Name2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020

Conference

Conference2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
Country/TerritoryUnited States
CityWashington
Period2/17/202/20/20

Keywords

  • Demand response
  • Responsive customer
  • Spinning reserve
  • Unit commitment
  • Wind power generation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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