Optimal control of a commercial building's thermostatic load for off-peak demand response

TL;DR

This paper presents an algorithmic framework enabling commercial buildings to optimize thermostatic load control during off-peak hours for demand response, increasing revenue with minimal comfort impact.

Contribution

It introduces a novel, cost-effective control framework for commercial buildings to participate in demand response without compromising occupant comfort.

Findings

Buildings can profitably increase demand at night.

The framework determines optimal flexibility and usage profiles.

Participation remains profitable even with low ancillary service payments.

Abstract

This paper studies the optimal control of a commercial building's thermostatic load during off-peak hours as an ancillary service to the transmission system operator of a power grid. It provides an algorithmic framework which commercial buildings can implement to cost-effectively increase their electricity demand at night while they are unoccupied, instead of using standard inflexible setpoint control. Consequently, there is minimal or no impact on user comfort, while the building manager gains an additional income stream from providing the ancillary service, and can benefit further by pre-conditioning the building for later periods. The framework helps determine the amount of flexibility that should be offered for the service, and cost optimized profiles for electricity usage when delivering the service. Numerical results show that there can be an economic incentive to participate even if the payment rate for the ancillary service is less than the price of electricity.