Sergio A. Salinas Monroy Ph.D. dissertation defense. 05/22/15 11:00 A.M.
May 8, 2015
Dear faculty, graduate and undergraduate students,
You are cordially invited to my Ph.D. dissertation oral defense.
Dissertation Title: Energy Management and Privacy in Smart Grids
When: Friday, May 22, 2015, 11:00 AM
Where: Simrall 228
Candidate: Sergio A. Salinas Monroy
Degree: Ph.D., Electrical and Computer Engineering
Committee:
Dr. Pan Li
Assistant Professor of Electrical and Computer Engineering (Major Professor )
Dr. Jenny Q. Du
Professor of Electrical and Computer Engineering (Committee Member)
Dr. James E. Fowler
Professor of Electrical and Computer Engineering (Committee Member)
Dr. Yong Fu
Associate Professor of Electrical and Computer Engineering (Committee Member)
Dr. Erdem Topsakal
Associate Professor of Electrical and Computer Engineering (Committee Member)
Abstract:
Despite the importance of power systems in today’s societies, they suffer from aging infrastructure and need to improve the efficiency, reliability, and security. Two issues that significantly limit the current grid’s efficient energy delivery and consumption are: load-following generation dispatch, and energy theft. A load-following generation dispatch is usually employed in power systems, which makes continuous small changes so as to account for differences between the actual energy demand and the predicted values. This approach has led to an average utilization of energy generation capacity below 55%. Moreover, energy theft causes several billion dollar losses to U.S. utility companies, while in developing countries it can amount to 50% of the total energy delivered. Recently, the Smart Grid has been proposed as a new electric grid to modernize current power grids and enhance its efficiency, reliability, and sustainability.
Particularly, in the Smart Grid, a digital communication network is deployed to enable two-way communications between users and system operators. It thus makes it possible to shape the users’ load demand curves by means of demand response strategies. Additionally, in the Smart Grid, traditional meters will be replaced with cyber-physical devices, called smart meters, capable of recording and transmitting users’ real-time power consumption. Due to their monitoring capabilities, smart meters offer a great opportunity to detect energy theft in smart grids, but also raise serious concerns about users’ privacy. In this dissertation, we design optimal load scheduling schemes to enhance system efficiency, and develop energy theft detection algorithms that can preserve users’ privacy.
Best Regards,
Sergio
Sergio Salinas
PhD Student
Department of Electrical and Computer Engineering Mississippi State University
429 Simrall Building
Mississippi State, MS 39762-9571