Markovian Decentralized Ensemble Control for Demand Response

TL;DR

This paper introduces a decentralized ensemble control framework with consensus for demand response, achieving optimality comparable to centralized methods in smart grid management during peak load periods.

Contribution

It presents a novel fully decentralized control approach with consensus for demand response, compatible with random policies, matching centralized optimality in various settings.

Findings

Decentralized control achieves the same optimality as centralized control.

Framework is compatible with random policies.

Effective in both myopic and multistage demand response scenarios.

Abstract

With the advancement in smart grid and smart energy devices, demand response becomes one of the most economic and feasible solutions to ease the load stress of the power grids during peak hours. In this work, we propose a fully decentralized ensemble control framework with consensus for demand response (DR) events and compatible control methods based on random policies. We show that under the consensus that is tailored to DR, our proposed decentralized control method yields the same optimality as the centralized control method in both myopic and multistage settings.