Distributed Demand Response and User Adaptation in Smart Grids

TL;DR

This paper introduces a distributed demand response framework for smart grids, utilizing congestion pricing to regulate user demand, with analysis and simulations demonstrating its effectiveness and convergence.

Contribution

It presents a novel distributed demand response algorithm incorporating congestion pricing and user preferences, with proven convergence and load balancing capabilities.

Findings

Pricing effectively regulates demand

Algorithm converges reliably in simulations

Balances network load efficiently

Abstract

This paper proposes a distributed framework for demand response and user adaptation in smart grid networks. In particular, we borrow the concept of congestion pricing in Internet traffic control and show that pricing information is very useful to regulate user demand and hence balance network load. User preference is modeled as a willingness to pay parameter which can be seen as an indicator of differential quality of service. Both analysis and simulation results are presented to demonstrate the dynamics and convergence behavior of the algorithm.