University of California, Riverside

Department of Electrical and Computer Engineering



Enabling Smart Grid Technology and Renewable Generation with Agent-based Simulation and Big Data Approach”


Enabling Smart Grid Technology and Renewable Generation with Agent-based Simulation....
 
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Enabling Smart Grid Technology and Renewable Generation with Agent-based Simulation and Big Data Approach”

December 2, 2013 - 11:10 am
Winston Chung Hall, 205/206

Abstract:

 

This presentation first gives a brief overview of the physical characteristics and performance of

 the U.S. electric power grid and electric power industry. Various technical challenges and research

opportunities in the next five to ten years in the field of power engineering are discussed

in detail. The challenges include the integration of grid-scale renewable generation,

distribution generation, changes in electricity demand and a changing workforce. Two research

directions are proposed to address the above mentioned technical challenges. Historical,

the inability to effectively model and evaluate renewable resources and smart grid technologies

has been a barrier to adoption. The flexible multi-agent based system is well suited

to model the vast physical and human network that connects thousands of electric generators

to millions of consumers. Examples are given to demonstrate how the proposed agent-based

simulation platform could address problems such as electricity market design and integration

of renewable generation and smart grid technologies. Approximately 50 million smart meters

have already been installed in several regions in the U.S. For example, Southern California

Edison has deployed 5 million smart meters. They collect electricity usage data every 15

minutes which will produce nearly 16 terabytes of information a year, a 3,000 fold increase in

the amount of data the same utility would process today. So far, most smart meter data are

mostly employed to ensure accurate billing. The availability of smart meter data, two-way communication

system enable us to conduct next generation load research, develop innovative energy efficiency services

and design self-healing distribution system. Together these researches will transform the planning and

operation of the entire power distribution system.

 

Biography:

Nanpeng (Eric) Yu received his M.S. degree and Ph.D. in electrical engineering from Iowa State

 University in 2007 and 2010. He also received his M.S. degree in Economics from Iowa State

University. He is currently a senior power planner in power supply department at Southern California

Edison. His principal research area includes smart grid technology, big data applications

 in power distribution system, restructured electricity market and renewable energy integration.

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General Campus Information

University of California, Riverside
900 University Ave.
Riverside, CA 92521
Tel: (951) 827-1012

Department Information

Electrical and Computer Engineering
Suite 343 Winston Chung Hall
University of California, Riverside
Riverside, CA 92521-0429

Tel: (951) 827-2484
Fax: (951) 827-2425
E-mail: E-mail/Questions

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