TY - GEN
T1 - Context-aware microgrid storage using electric cars
AU - Donohoe, Michael
AU - Jennings, Brendan
AU - Balasubramaniam, Sasitharan
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - 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
UR - http://www.scopus.com/inward/record.url?scp=84893534323&partnerID=8YFLogxK
U2 - 10.1109/ISGTEurope.2013.6695378
DO - 10.1109/ISGTEurope.2013.6695378
M3 - Conference contribution
AN - SCOPUS:84893534323
SN - 9781479929849
T3 - 2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013
BT - 2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013
Y2 - 6 October 2013 through 9 October 2013
ER -