Low-complexity control algorithm for decentralised demand response using thermostatic loads
For researchers and engineers designing decentralized demand response systems, this work offers a computationally efficient algorithm suitable for embedding in appliances and high-throughput simulations, though it is an incremental adaptation of existing methods.
The paper adapts an existing continuous-time control algorithm for thermostatic loads to achieve low computational complexity and handle variable-length discrete time steps, enabling accurate aggregate power control with high computational efficiency in simulations of large heterogeneous appliance populations.
Thermostatically controlled loads such as refrigerators are exceptionally suitable as a flexible demand resource. This paper derives a decentralised load control algorithm for refrigerators. It is adapted from an existing continuous time control approach, with the aim to achieve low computational complexity and an ability to handle discrete time steps of variable length -- desirable features for embedding in appliances and high-throughput simulations. Simulation results of large populations of heterogeneous appliances illustrate the accurate aggregate control of power consumption and high computational efficiency.