Location
Science and Engineering Building, UNLV
Start Date
27-4-2012 10:30 AM
End Date
27-4-2012 4:00 PM
Description
With the growing awareness of the need for Smart Grid, various countries are taking initiatives for developing Smart Grid.
However, there is limited research on utilizing Smart Grid for Demand-Response (DR).
This study advances the current system of DR by creating a Smart Grid Simulator that allows an intuitive demand response analysis.
The simulator demonstrates that substantial amount of electric power can be reduced efficiently by selective demand control over Smart Grid.
The graphical interface allows generating the electrical usage data and displays both individual and aggregate usage data over time.
This research employs U.S. census data for accurate estimate of family and life style as electric power usage is simulated by taking various inputs including the number of houses, family size, work and life patterns, etc.
This study explores potential Privacy issues in Smart Grid and suggests data anonymization as a viable solution for preventing them.
Moreover, this study proposes directions for future research on electric devices control using Smart Grid Simulator.
Keywords
Computer simulation; Consumer behavior; Smart power grids
Disciplines
Computer Engineering | Controls and Control Theory
Language
English
A Consumer Level Simulation Model For Demand Response Analysis On Smart Grid
Science and Engineering Building, UNLV
With the growing awareness of the need for Smart Grid, various countries are taking initiatives for developing Smart Grid.
However, there is limited research on utilizing Smart Grid for Demand-Response (DR).
This study advances the current system of DR by creating a Smart Grid Simulator that allows an intuitive demand response analysis.
The simulator demonstrates that substantial amount of electric power can be reduced efficiently by selective demand control over Smart Grid.
The graphical interface allows generating the electrical usage data and displays both individual and aggregate usage data over time.
This research employs U.S. census data for accurate estimate of family and life style as electric power usage is simulated by taking various inputs including the number of houses, family size, work and life patterns, etc.
This study explores potential Privacy issues in Smart Grid and suggests data anonymization as a viable solution for preventing them.
Moreover, this study proposes directions for future research on electric devices control using Smart Grid Simulator.
Comments
Related Thesis:
http://digitalscholarship.unlv.edu/thesesdissertations/1590/