Control of Smart Buildings and Utility-Scale Batteries Enabling 24/7 Carbon-Free Energy

Faran A. Qureshi, Jeff S. Shamma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wind power is a clean and sustainable source of electricity, but its intermittent nature creates challenges for its grid integration. Utility-scale batteries are a popular and effective solution to make wind power dispatchable, however, batteries are expensive and increase the overall cost of operation. In this paper, we propose utilizing the flexibility in the consumption of smart buildings to reduce the size of the utility-scale batteries needed for the dispatchability of wind energy. A method based on stochastic optimization is proposed to compute the dispatch plan required to participate in the day-ahead energy market. A stochastic model predictive controller is proposed for the control of the buildings and batteries to track the dispatch plan in real-time. Simulations are carried out with realistic building models and real weather, wind power production, and forecast data. Results demonstrate that utilizing the flexibility of building thermodynamics can significantly reduce the size (and usage) of the required battery for making the wind power production dispatchable.

Original languageEnglish (US)
Title of host publication2021 European Control Conference, ECC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2555-2560
Number of pages6
ISBN (Electronic)9789463842365
DOIs
StatePublished - 2021
Externally publishedYes
Event2021 European Control Conference, ECC 2021 - Delft, Netherlands
Duration: Jun 29 2021Jul 2 2021

Publication series

Name2021 European Control Conference, ECC 2021

Conference

Conference2021 European Control Conference, ECC 2021
Country/TerritoryNetherlands
CityDelft
Period6/29/217/2/21

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Control and Systems Engineering
  • Mechanical Engineering
  • Computational Mathematics

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