学　术

　　为加强我校各学科之间的学术交流，搭建教师学术交流平台，促进教师学术水平提升和跨学科合作，教师发展中心开展跨学科学术沙龙活动。

　　本次活动教师发展中心特别邀请美国内华达大学助理教授杨磊，与我校师生分享其在风能的空时分布模型及随机优化的研究及进展。具体安排如下，欢迎感兴趣的教师和博士生参加。

　　一、主　题：Data Analytics for Wind Energy Integration: Spatio-Temporal Wind Power Analysis and Stochastic Optimization

　　二、主讲嘉宾：美国内华达大学助理教授  杨磊

　　三、时　间：2016年12月19日（周一）14：00

　　四、地　点：清水河校区主楼B3-703

　　五、主持人：通信抗干扰技术国家级重点实验室　黄川 教授

　　六、交流内容

　　With the increasing penetration of wind into bulk power systems, wind generation has posed a significant challenge to system operators due to the highly variable wind generation. Reliable system operations require accurate wind forecast, especially at the high penetration level of wind generation. In this talk, short-term forecast of wind farm generation is investigated by applying spatio-temporal analysis to extensive measurement data collected from a large wind farm. Specifically, using the data of the wind turbines power outputs recorded across two consecutive years, multiple finite-state Markov chains that take into account the diurnal non-stationarity and the seasonality of wind generation are first developed to capture the fast fluctuations of small amounts of wind generation. To capture the wind ramp dynamics, SVM is employed, based on one key observation from the measurement data that wind ramps always occur with specific patterns. Then, the forecast by the SVM is integrated into each finite-state Markov chain. Based on the SVM enhanced Markov model, short-term distributional forecasts and point forecasts are then derived. The distributional forecast can be utilized to study stochastic unit commitment and economic dispatch problems by using a Markovian approach. Numerical test results, via using realistic wind farm data provided by the National Renewable Energy Laboratory (NREL), demonstrate the significant improved accuracy of the proposed forecast approach.

　　七、主讲人简介

　　Lei Yang received the B.S. and M.S. degrees in electrical engineering from Southeast University, Nanjing, China, in 2005 and 2008, respectively, and the Ph.D. degree from the School of Electrical Computer and Energy Engineering at Arizona State University, Tempe, in 2012. He is currently an Assistant Professor in the Department of Computer Science and Engineering, University of Nevada, Reno, NV, USA. He was a postdoctoral scholar at Princeton University, Princeton, NJ, USA, and an Assistant Research Professor with the School of Electrical Computer and Energy Engineering at Arizona State University, Tempe. He has received the Best Paper Award Runner-up of IEEE INFOCOM 2014.

　　八、主办单位：人力资源部教师发展中心

　　　　承办单位：通信抗干扰技术国家级重点实验室

　　　　　　　　　　　　　　　　　　　　人力资源部教师发展中心

　　　　　　　　　　　　　　　　　　　　　　2016年12月15日