Search Results for author:
Found 6 papers, 0 papers with code
Optimal Control of District Cooling Energy Plant with Reinforcement Learning and MPC
A straightforward application of model predictive control (MPC) requires solving a challenging mixed-integer nonlinear program (MINLP) because of the on/off of chillers and the complexity of the DCEP model.
Reinforcement Learning for Optimal Control of a District Cooling Energy Plant
Optimizing the scheduling of the TES and chillers to take advantage of time-varying electricity price is a challenging optimal control problem.
A unified framework for coordination of thermostatically controlled loads
The framework enables coordination of an arbitrary number of TCLs that: (i) is computationally efficient, (ii) is implementable at the TCLs with local feedback and low communication, and (iii) enables reference tracking by the collection while ensuring that temperature and cycling constraints are satisfied at every TCL at all times.
Increasing Energy Resiliency to Hurricanes with Battery and Rooftop Solar Through Intelligent Control
Simulations show that the size of the PV+battery system to provide a certain resiliency performance can be halved by the proposed control system.
Characterizing capacity of flexible loads for providing grid support
Two advantages of our characterization are: (i) it easily allows for a BA to use the characterization for resource allocation of flexible loads and (ii) it allows for precise definitions of the power and energy capacity for a collection of flexible loads.
Simultaneous identification of linear building dynamic model and disturbance using sparsity-promoting optimization
We propose a method that simultaneously identifies a linear time-invariant model of a building's temperature dynamics and a transformed version of the unmeasured disturbance affecting the building.
