内容简介: In this talk spatio-temporal data-driven wind forecast is incorporated in power system economic dispatch models. Compared to most existing power system dispatch models, the proposed formulation takes into account both spatial and temporal wind power correlations, which, in turn, improves the near-term wind forecast accuracy. The improved wind forecast in incorporated in the look-ahead power system dispatch model. Compared with conventional static security constrained economic dispatch, look-ahead dispatch leverages the near-term forecasts of variable generation for an overall more cost-effective utilization of generation assets, and reduced wind curtailment. The formulation of look-ahead dispatch and a preliminary case study in the large-scale nodal market operations of Electric Reliability Council of Texas (ERCOT) system will be discussed. ERCOT, as a region, has the highest installed wind capacity in the U.S., and fifth largest capacity in the world. The ERCOT-scale case study demonstrates the potential benefits of look-ahead dispatch with spatio-temporal wind forecast.

报告人简介: Le Xie is an Assistant Professor in the Department of Electrical and Computer Engineering at Texas A&M University, College Station, Texas, where he is affiliated with the Electric Power and Power Electronic Group. He received his B.E. in Electrical Engineering from Tsinghua University, Beijing, China in 2004. He received S.M. in Engineering Sciences from Harvard University in June 2005. He obtained his Ph.D. from Electric Energy Systems Group (EESG) in the Department of Electrical and Computer Engineering at Carnegie Mellon University in 2009. His industry experience includes an internship in 2006 at ISO-New England and an internship at Edison Mission Energy Marketing and Trading in 2007. His research interest includes modeling and control of large-scale complex systems, smart grid applications in support of variable energy integration, and electricity markets. Dr. Xie received National Science Foundation CAREER Award, and the Ralph E. Powe Junior Faculty Enhancement Awards.  He is an Editor of IEEE Transactions on Smart Grid, and an active member of IEEE Power and Energy Society Power System Analysis, Computing and Economics Committee. He also serves as the founding faculty advisor to Texas A&M Energy Club, a university-wide student-run organization focusing on energy.