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Big Data Analytics in Large Scale Power System Economic Planning
发表时间:2016-10-20阅读次数:2463次
   Time: 2016.10.26  14:30                 时间:  2016年10月26日14:30

Venue: Room 214, Building of Smart Grid    地点:智能电网大楼214会议室

Speaker: Dr. Yingzhong Gu                主讲:顾颖中博士

 

Dr. Gu is the Development Lead at GE Energy Consulting.  He leads the development team enhancing and developing GE MAPS, supporting MAPS customer, organizing sales and marketing activities for GE software and providing consulting services to internal and external clients. 

Prior to joining GE, Dr. Gu was at Alstom Grid, Redmond, Washington with the Optimization Application Team. He involved in developing the market management system (MMS) for Southwest Power Pool. Dr. Gu has also worked at California ISO, Folsom, California with Regional Transmission Planning Team. He contributed to various transmission planning projects in California. Dr. Gu received his B.S. degree in Electrical Engineering in 2009 from Shanghai Jiao Tong University, Shanghai, China. He received his Ph.D. in Electrical Engineering from Texas A&M University. Dr. Gu served as the vice president at North American Chinese Power Professional Association (NACPPA). He also served as reviewer on IEEE trans. on Power System, IEEE trans. on Smart Grid, IEEE trans. on Sustainable Energy, etc.  Dr. Gu has authored / published 2 book chapters and 15 papers.

 

Short Abstract: Power system economic planning is a core part of a comprehensive power system planning process, which not only considers the needs for reliability, public policy and resource adequacy but also it well addresses the long-term needs for a more economical and efficient power grid operation. The power system economic planning, using production simulation tool, evaluate the current and future state of bulk power grid and the economic impact of various projects to reduce the overall operation cost in the long run. GE Multi-Area Production Simulation (MAPS) is widely adopted to conduct various power system economic planning studies including renewable integration studies, market efficiency evaluation studies, transmission planning studies, and congestion assessment studies, etc. One of the major challenge of power system economic planning is to conduct long-term (i.e. 20-30 years) production simulation for large scale power systems. The big data analytics technology is a key to facilitate the state-of-the-art power system economic planning. This seminar introduces some major efforts GE is taking toward this new era. 

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