Paper Info
Title
A distributed, real-time and non-parametric approach to demand response in the smart grid
Abstract
This paper considers a novel approach to demand response in a smart grid, wherein a set of flexible loads with given energy requirements and deadlines for completion adjust their instantaneous power consumption in such a way as to make the aggregate total power consumption on the grid as smooth as possible. Each load periodically adjusts its own power level using only a minimal amount of feedback i.e. the aggregate power consumption observed in the previous period, and knowledge of its own energy requirement and deadline. Our approach allows for a fully distributed, real-time implementation and does not require any knowledge of arrival process statistics or forecasts of future load. We illustrate the working of our algorithm with a detailed simulation of generation and load for a fictional small city modeled after the city of Ames, IA using data from a variety of sources. In this simulation, charging electric vehicles serve as flexible loads. We also present an approximate analysis of the bahaviour of flexible loads in our scheme based on a continuous time version of the proposed algorithm to gain insight into its properties and limitations.
Year
DOI
Venue
2015
10.1109/CISS.2015.7086882
Information Sciences and Systems
Keywords
Field
DocType
adaptive algorithms,demand response,distributed optimization,business,statistics,feedback,approximation theory,smart grid,economics,real time systems,sociology
Load balancing (electrical power),Smart grid,Computer science,Demand response,Nonparametric statistics,Real-time computing,Dynamic demand,Power (physics),Grid,Power consumption
Conference
Citations 
PageRank 
References 
1
0.35
3
Authors
4
Name
Order
Citations
PageRank
Goguri, S.122.74
Hall, J.210.35
R. Mudumbai3102070.72
Soura Dasgupta467996.96