Master of Science in Computer Science
First Committee Member
Second Committee Member
Third Committee Member
Fourth Committee Member
Emma E. Regentova
Number of Pages
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 Power Demand Control compared to the other areas such as Smart Grid communication network or renewable energy integration. Therefore, this study attempts to help the current Outage Management System by creating a Simulator that allows an intuitive power demand control analysis. Electrical usage is simulated by taking various inputs including the number of houses, family size, work and life patterns, electrical devices, time, etc. For accurate estimate of family and life style, US census data has been used. The graphical interface allows generating the electrical usage data, then it displays both individual and aggregate usage data over time. Through the two-way communication capability of Smart Grid, the devices can be remotely and dynamically controlled by the provider to meet the power supply condition. The simulator demonstrates that substantial amount of electric power can be reduced efficiently by selective demand control over Smart Grid. Furthermore, this study explores potential privacy issues in Smart Grid and suggests data anonymization as a viable solution. Recommendations for future studies are proposed as well.
Data Anonymization; Electric power distribution – Automation; Energy consumption; Power demand control; Privacy; Privacy, Right of; Smart Grid; Smart Grid Simulator; Smart power grids – Computer simulation
Computer Sciences | Oil, Gas, and Energy | Sustainability
Lee, Sungchul, "Developing a Simulation Model for Power Demand Control Analysis and Privacy Protection in Smart Grid" (2012). UNLV Theses, Dissertations, Professional Papers, and Capstones. 1590.