The emergence of deferrable energy requests and a greener future: What stands in the way?

Mahnoosh Alizadeh, Tsung Hui Chang, Anna Scaglione, Chen Chen, Shalinee Kishore

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

There is a global consensus that our path towards a greener future depends on finding ways to reliably integrate renewable energy sources into the generation pool of our power grids. This vision is accompanied by the challenge of making demand significantly more flexible in order to compensate for the intermittent nature of renewable generation outputs and keeping the demand and supply continuously balanced. It is apparent that deferrable energy requests will play an especially valuable role in this transition. While the idea of scheduling energy requests to follow a variable generation profile seems intuitively straightforward, there are several major challenges that need to be solved before deferrable loads become a reality in our power systems. In this paper, we discuss these difficulties and present a demand side management program we proposed, called Digital Direct Load Scheduling (DDLS). Further, we will present different scenarios under which demand aggregators can help power system operators integrate more renewables in the grid, shave peak demands and control wholesale prices of electricity.

Original languageEnglish (US)
Title of host publication5th International Symposium on Communications Control and Signal Processing, ISCCSP 2012
DOIs
StatePublished - 2012
Externally publishedYes
Event5th International Symposium on Communications Control and Signal Processing, ISCCSP 2012 - Rome, Italy
Duration: May 2 2012May 4 2012

Publication series

Name5th International Symposium on Communications Control and Signal Processing, ISCCSP 2012

Other

Other5th International Symposium on Communications Control and Signal Processing, ISCCSP 2012
Country/TerritoryItaly
CityRome
Period5/2/125/4/12

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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