Abstract

Due to their heat/cool storage characteristics, thermostatically controlled loads (TCLs) play an important role in demand response programmers. However, modeling of the heat/cool storage characteristic of large numbers of TCLs is not simple. In this paper, the heat exchange power is adopted to calculate the power instead of the average power, and the relationship between the heat exchange power and energy storage is considered to develop an equivalent storage model, based on which the time-varying power constraints and the energy storage constraints are developed, to establish the overall day-ahead scheduling model. Finally, the proposed scheduling method is verified using the simulation results of a six-bus system.

Highlights

  • Renewable energies, such as wind and solar energy, have garnered significant attention

  • The day-ahead scheduling model based on the equivalent energy storage model, which considers the Pc,agg constraint and Eagg constraint, is established

  • The large numbers of Thermostatically controlled loads (TCLs) are modeled by the equivalent energy storage model and participate in dayahead scheduling

Read more

Summary

Introduction

Renewable energies, such as wind and solar energy, have garnered significant attention. Though effectiveness of the above models, the heat exchange power changes with the temperature, and has a relationship with the aggregate energy storage, which will result in a time-varying upper/lower limit of power. These models either neglect this timevarying characteristic or this relationship between the power and energy storage. To fill this research gap, this paper establishes an equivalent energy storage model for aggregated TCLs with heterogeneous parameters by introducing the heat exchange power instead of the average power, to reflect the time-varying characteristics.

Equivalent energy storage model
Equivalent thermal parameter model
Day-ahead scheduling of model of large numbers of TCLs
Object function
Constraints
Testing results
Findings
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call