加拿大Ryerson University Zhao Lian教授学术报告

来源:信息科学与技术学院  作者:马征  日期:2018-12-02  点击数:218

                               加拿大Ryerson University  Zhao Lian教授学术报告


时间:03/12/2018, 8:30~9:30

地点: X9218

主持人:郝莉 教授

Title:  Load Balancing for Smart Grid Applying Water-Filling Approach

 

Abstract:

It is well-known that power demand is time-varying in a day. Demand Side Management (DSM) is a mechanism to increase the power stability and efficiency by scheduling elastic loads on demand side considering the user’s utility and/or electricity cost. Less power fluctuation in the power system indicates improved efficiency and safety operation of the power grid. Therefore, flattening the power consumption to achieve load balancing via DSM has attracted lots of research attention in recent years.

Water-filling (WF) algorithm is a well-known important tool for optimal radio resource management (RRM) in communication systems to maximize channel capacity when power is constrained. In this talk, water-filling approach is proposed to solve load balancing problem.  We consider that the users are grouped into different groups. Each user has individual peak power constraint and each group has group peak power constraint due to different restrictions of the power loads used by the users and the groups. It will be shown that the optimal elastic power allocation to minimize the overall load fluctuation has the form of water-filling solution. We decompose the three dimension allocation problems into two dimension problems to gain tractability and provide optimal solutions efficiently.

The proposed load balancing algorithms possess scalability feature and provide exact optimal solutions based on non-derivative methods, as the implementation of the proposed algorithms invokes neither derivative nor gradient operations. Numerical results demonstrate the efficiency of the proposed algorithms.

Biography

Dr. Lian Zhao, co-founder and principle researcher of the Wireless Communication and Networking Laboratory (WCN), joined the Department of Electrical and Computer Engineering, Ryerson University as an Assistant Professor in 2003, an Associate Professor in 2007, and a Professor in 2014. Her research interests are in the areas of wireless communications, radio resource management for complicated communication systems, power control, mobile edge computing, load balance for smart grid, etc.  Dr. Lian Zhao contributed over 100 peer-reviewed journal and conference papers, supervised over 20 graduate students and HQP (High Qualified personnel). She received Canada Foundation for Innovation (CFI) New Opportunity Research Award in 2005; Ryerson Faculty Merit Award in 2005 and 2007; Early tenure and promotion in 2006; Bi-annual Faculty Research Excellence Award from ELCE Department in 2010, 2012, and 2014; and the Best Student Paper Award (with her student) from IEEE Chinacom in 2011, Best Paper Award from 2013 International Conference on Wireless Communications and Signal Processing (WCSP), and Best Land Transportation Journal Paper Award from IEEE Vehicular Technology Society in 2016. Her research publications appear in the high-quality peer reviewed journals and conference proceedings, such as IEEE Transaction journals, IEEE sensor journals, IEEE globecom, IEEE VTC, etc.  Dr. Zhao has been an IEEE senior member and registered professional engineer in the province of Ontario since 2006; an Associate Chair at the Department of Electrical and Computer Engineering at Ryerson University 2013-2015; an Editor for IEEE Transaction on Vehicular Technology since 2013; and a committee member for NSERC (Natural Science and Engineering Research Council of Canada) Evaluation Group for Electrical and Computer Engineering in 2015-2018.