# Low-complexity control algorithm for decentralised demand response using thermostatic loads

## TL;DR

This paper presents a low-complexity decentralized control algorithm for thermostatic loads like refrigerators, enabling efficient aggregate demand management suitable for embedded systems and large-scale simulations.

## Contribution

It adapts an existing continuous control approach to a discrete, low-complexity algorithm for decentralized demand response in thermostatic loads.

## Key findings

- Accurately controls aggregate power consumption of refrigerator populations.
- Demonstrates high computational efficiency in simulations.
- Handles variable-length discrete time steps effectively.

## Abstract

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.