On the impact of SmartGrid metering infrastructure on load forecasting

Mahnoosh Alizadeh, Anna Scaglione, Zhifang Wang

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

19 Scopus citations

Abstract

Accurate real-time load forecasting is essential for the reliable and efficient operation of a power system. Assuming that the number of electrical vehicles will increase substantially in the near future, the load profiles of the system will become too volatile and unpredictable for the current forecasting techniques. We propose to utilize the accurate reporting of the emerging Advanced Metering Infrastructure (AMI) to track the incoming PHEV load requests and their statistics. We propose a model for the PHEV loads statistics and an optimization of the generation dispatch that uses the full statistical information. This model offers an example of the potential impact of the smart metering infrastructure currently being deployed.

Original languageEnglish (US)
Title of host publication2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010
Pages1628-1636
Number of pages9
DOIs
StatePublished - 2010
Externally publishedYes
Event48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010 - Monticello, IL, United States
Duration: Sep 29 2010Oct 1 2010

Publication series

Name2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010

Other

Other48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010
Country/TerritoryUnited States
CityMonticello, IL
Period9/29/1010/1/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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