Characterizing Flexible BTM Loads for Grid Services
* 21PESGM2334, Predicting human-in-the-loop dynamics of thermostatic supervisory heat-pump control: M. KANE, Northeastern University * 21PESGM2330, Demand Response Under Uncertainty with Chance Constraints: K. BAKER, University of Colorado Boulder * 21PESGM2331, Incentivising customer load responsiveness for network need: G. LEDWICH, Queensland University of Technology: Brisbane * 21PESGM2332, Maximise the Benefit of Distributed Residential Energy Storage in the Australian National Electricity Market: J. DONG, University of New South Wales * 21PESGM2333, Potentials of integrated operation of thermal and electric storages: V. PERIĆ, Technical University of Munich
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26 Jul 2021
Breakthroughs in information technology systems and new market structures are paving the way for distributed energy resources (DERS) to provide large-scale services to the electric grid across spatial and temporal scales. However, the coordinating and controlling potentially millions of DERS to provide the same reliability and accuracy as traditional centralized generation is proving challenging due to the wide array of devices types, models, and environments being aggregated. This panel explores new approaches to modeling flexible customer loads, especially small diverse behind the meter (BTM) loads to improve the relationship between the grid and load related energy resources and services behind the meter.
Chairs:
Michael Kane, Northeastern University, Kyri Baker, University of Colorado Boulder
Sponsor Committees:
Smart Buildings, Loads &, Customer Systems
