Optimal control of a commercial building's thermostatic load for off-peak demand response
It addresses the problem of enabling commercial buildings to cost-effectively participate in demand response with minimal occupant impact, offering a new revenue stream for building managers.
This paper develops an algorithmic framework for optimal control of commercial building thermostatic loads during off-peak hours to provide ancillary services to the grid, showing that participation can be economically viable even when payment rates are below electricity prices.
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.