# Low-complexity decentralized algorithm for aggregate load control of thermostatic loads

arXiv: https://arxiv.org/abs/2010.12443 · HTML: https://mlsanity.com/paper/2010.12443/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Oct 2020.

## Built on by (most cited first, 1 of 1)

- [Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network](https://mlsanity.com/paper/2311.15594/) (2023)

## Abstract (arXiv)

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. Tracking accuracy is quantified as a function of population size and time step size, and correlations in the tracking error are investigated. The controller is shown to be robust to errors in model specification and to sudden perturbations in the form of random refrigerator door openings.