Two-Stage Stochastic Planning for Control of Building Thermal Energy Storage Portfolios with Transactive Controls

Min Gyung Yu, Gregory S. Pavlak

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

4 Scopus citations


Building thermal energy storage (TES) can provide value to building owners while helping the electric grid. In this paper, a transactive approach to controlling thermal energy storage is developed for multiple buildings considering electric grid incentives. A two-stage building control framework is proposed to plan day-ahead electricity procurement and real-time TES operation. Day-ahead planning is decided by a two-stage stochastic optimization framework to account for uncertainty in the occupant behavior and weather of the following day. In the real-time operation, a transactive market mechanism is utilized for load flexibility created by TES operation. Real-time operations are based on solving a model predictive control (MPC) problem at the aggregator level to dispatch thermal storage via transactive markets. Simulation case studies were conducted to evaluate the proposed framework by comparing the performance of the stochastic planning and control with the deterministic approach. This paper demonstrates the effectiveness of the developed framework in operating a portfolio of thermal storage resources in consideration of uncertainty.

Original languageEnglish (US)
Title of host publication2020 American Control Conference, ACC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538682661
StatePublished - Jul 2020
Event2020 American Control Conference, ACC 2020 - Denver, United States
Duration: Jul 1 2020Jul 3 2020

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Conference2020 American Control Conference, ACC 2020
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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