A distributed, real-time and non-parametric approach to demand response in the smart grid

S Goguri; J Hall; R Mudumbai; S Dasgupta

doi:10.1109/CISS.2015.7086882

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Conference proceeding

A distributed, real-time and non-parametric approach to demand response in the smart grid

S Goguri, J Hall, R Mudumbai and S Dasgupta

2015 49th Annual Conference on Information Sciences and Systems (CISS), pp.1-5

03/2015

DOI: 10.1109/CISS.2015.7086882

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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.

Economics

Sociology

Statistics

Business

Power measurement

distributed optimization

Cities and towns

adaptive algorithms

demand response

Details

Title: Subtitle: A distributed, real-time and non-parametric approach to demand response in the smart grid
Creators: S Goguri - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
J Hall - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
R Mudumbai - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
S Dasgupta - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
Resource Type: Conference proceeding
Publication Details: 2015 49th Annual Conference on Information Sciences and Systems (CISS), pp.1-5
DOI: 10.1109/CISS.2015.7086882
Publisher: IEEE
Language: English
Date published: 03/2015
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083807902771

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