Context-aware microgrid storage using electric cars

Michael Donohoe, Brendan Jennings, Sasitharan Balasubramaniam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Electric cars could provide a viable power storage option for suburban microgrids. Such stored power could be used by the microgrid or supplied to the main grid at key times as part of the operation and management of a microgrid cluster. Tracking driver behaviour then becomes important in order to estimate and forecast the level of stored power at any given time. Context-aware information gathered from external sources such as an electronic work calendar can provide one means of predicting driver and car movements. We are using simulation studies to quantify the benefit of such context-aware information for calculating and forecasting battery storage capacity in a microgrid cluster. This capacity is then used in a simulation of power trading between the cluster and a main grid.

Original languageEnglish
Title of host publication2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013
DOIs
Publication statusPublished - 2013
Event2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013 - Lyngby, Denmark
Duration: 06 Oct 201309 Oct 2013

Publication series

Name2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013

Conference

Conference2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013
Country/TerritoryDenmark
CityLyngby
Period06/10/201309/10/2013

Keywords

  • distributed power generation;electric vehicles;power engineering computing;ubiquitous computing;power trading simulation;microgrid cluster;battery storage capacity forecasting;electronic work calendar;context-aware information;electric cars;context-aware microgrid storage;Microgrids;Vehicles;Calendars;Batteries;Employment;Context;Predictive models;microgrid;context-awareness;electric car

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