Demand side management trends in the power grid

Mahnoosh Alizadeh, Zhifang Wang, Anna Scaglione

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

6 Scopus citations

Abstract

The roadmap of the Smart Grid project includes exploiting the intrinsic elasticity of electricity demand in the future, to make it responsive to the near term cost of supplying generation. This would curb costly peaks of demand and allow for a greater penetration of renewable energy sources. The mechanisms serving this purpose are referred to as Demand Side Management (DSM) and Demand-Response (DR) programs. While it is clear that DSM and DR will be indispensable to loosen the control over the generation and decrease the reserve requirements, there is much debate on what is the right architecture for DSM and DR programs. In this paper we discuss current trends that are being considered as candidates for DSM and DR and critically compare them, outlining research directions that should be pursued in the future to overcome this dilemma.

Original languageEnglish (US)
Title of host publication2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
Pages141-144
Number of pages4
DOIs
StatePublished - Dec 1 2011
Externally publishedYes
Event2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011 - San Juan, Puerto Rico
Duration: Dec 13 2011Dec 16 2011

Publication series

Name2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011

Other

Other2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
CountryPuerto Rico
CitySan Juan
Period12/13/1112/16/11

ASJC Scopus subject areas

  • Computer Networks and Communications

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    Alizadeh, M., Wang, Z., & Scaglione, A. (2011). Demand side management trends in the power grid. In 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011 (pp. 141-144). [6135908] (2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011). https://doi.org/10.1109/CAMSAP.2011.6135908