Thermal and electric multidomain dynamic model for integration of power grid distribution with behind-the-meter devices

  • Jian Sun
  • , Yanfei Li
  • , Jamie Lian
  • , Yuan Liu
  • , Wei Du

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

As renewable energy sources like solar and wind power become more integrated into the grid, coordinated control of behind-the-meter devices is crucial for enhancing grid flexibility and reliability and for meeting cost targets, with standardized models being developed to support this transition. The increasing flexibility and uncertainty of integrated renewable energy grids, along with interactions between various subsystems, make traditional steady-state modeling insufficient to capture transient and dynamic behaviors. Current models (e.g., composite load and battery equivalent models) focus on thermodynamic or electrical characteristics but overlook critical electromechanical interactions. This limits the ability to share performance information for grid services and hampers fast dynamic simulations. In addition, motor stalling is usually triggered by a fault event and attributed to the characteristics of the mechanical torque of the motor, resulting in absorption of a large amount of reactive power during the stalling period. This significant withdrawal of reactive power will deteriorate the dynamic voltage stability of power grids and cause delayed voltage recovery [1]. Therefore, an in-depth modeling of the thermodynamics or mechanical torque is essential to study the impacts of the realistic torque characteristics of those behind-the-meter devices on power system voltage stability. This study developed a dynamic multidomain model for building HVAC systems, such as air-source heat pumps, to simulate their thermal and electrical responses to grid transients. The model can accurately predict power metrics with a mean absolute percentage error of 10 %, by validating against with power system computer-aided design performance data. Case studies demonstrate the model capability of capturing the transient response to sudden voltage changes, rapid load fluctuations, and system shutdowns respectively. During a sudden voltage drop (30 % for 0.1 s), a fully loaded heat pump's motor speed dropped, continued declining, and shut down after 3.6 s, with severe power oscillations and a torque spike. A partially loaded unit experienced temporary oscillations but stabilized. Under higher building loads, compressor speed increased from 64 % to 100 %, with power and torque rising before stabilizing. In safety-triggered shutdowns, power decreased after minor fluctuations, and torque briefly spiked before dropping to zero.

Original languageEnglish
Article number115606
JournalEnergy and Buildings
Volume336
DOIs
StatePublished - Jun 1 2025

Funding

Funding for this research was provided by the US Department of Energy’s Office of Energy Efficiency and Renewable Energy. The authors would like to thank Dr. Yi Yang and Dr. Robert Reedy, technology managers for the Solar Energy Technologies Office, for their support of this work. This manuscript has been authored in part by UT-Battelle LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( https://energy.gov/downloads/doe-public-access-plan ). This material is based upon work supported by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under the Solar Energy Technologies Office Award Number 38453. The authors would like to thank Dr. Yi Yang and Dr. Robert Reedy, technology managers for the Solar Energy Technologies Office, for their support of this work.

Keywords

  • Behind the meter
  • Building HVAC
  • Dynamic model
  • Grid distribution
  • Heat pump

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