# Decentralized demand response for temperature-constrained appliances

## TL;DR

This paper explores how to coordinate large numbers of temperature-constrained appliances in a smart grid to achieve demand response, reducing energy consumption while maintaining temperature limits with minimal communication.

## Contribution

It introduces a mathematical model and methods for coordinating appliances to optimize demand response with limited communication and temperature constraints.

## Key findings

- Quantifies maximum power reduction achievable.
- Provides methods for appliance coordination under temperature constraints.
- Analyzes the relationship between reduction duration and achievable demand response.

## Abstract

The evolution of the power grid towards the so-called Smart Grid, where information technologies help improve the efficiency of electricity production, distribution and consumption, allows to use the fine-grained control brought by the Internet of Things capabilities to perform distributed demand response when requested by the grid. In this paper, we study the demand-response potential of coordinated large numbers of appliances which have to maintain some temperature within a fixed range through the ON/OFF functioning of a temperature modifier. We introduce a mathematical model and methods to coordinate appliances with given requirements, in order to offer a global energy demand reduction for a desirable duration while still satisfying the temperature constraints, and with limited communication overhead. We quantify the maximum power reduction that can be attained, as a function of the reduction duration asked by the grid.