报告题目：Optimal Power Flow Technology for Power Systems with Renewable Energy: Theory, Computation, and Applications
The goal of an optimal power flow (OPF) is to determine the “best” way to operate a power system. Usually “best” equals to minimizing operating cost or system power loss, while operational and engineering constraints are satisfied.
SuperOPF is a practical and powerful AC OPF solver, developed by Bigwood Systems Inc., New Yorkm USA, which has been developed under the sponsorship of Department of Energy, USA and several utility companies in the last 15 years. Even though the theoretical foundation of SuperOPF is solid, it may occasionally fail to compute a AC OPF solution due to issues such as the non-existence of an OPF solution and bad initial starting points. To deal with these issues, we have developed theoretical foundation for feasible regions of AC OPF problems. The feasible region plays a fundamental role in solving optimal power flow (OPF) problems. In this talk, a complete characterization of the feasible region of OPF problems will be presented. This complete stability property enables the development of solution methods for identifying the existence/non-existence of feasible solutions.
In addition, practical applications of SuperOPF to large-scale power systems such as the Tokyo Electric Power Company, Tokyo, Japan, the ERCOT, Texas, USA and PJM Interconnection, PA, USA (the largest utility in the world) will be illustrated.
Hsiao-Dong Chiang (M’87–SM’91–F’97) received the Ph.D. degree in electrical engineering and computer sciences from the University of California at Berkeley, Berkeley, CA, USA. Since 1998, he has been a Professor in the School of Electrical and Computer Engineering at Cornell University, Ithaca, NY, USA. His current research interests include nonlinear systems, power networks, nonlinear computation, nonlinear optimization, and their practical applications to Power Grids and Big Data. He and his team members have published more than 450 referred papers with the H factor of 57. He holds 20 U.S. and overseas patents and several consultant positions. He has received several awards and is the author of two books: Direct Methods for Stability Analysis of Electric Power Systems: Theoretical Foundations, BCU Methodologies, and Applications (Hoboken, NJ, USA: Wiley, 2011) and (with Luis F. Alberto) Stability Regions of Nonlinear Dynamical Systems: Theory, Estimation, and Applications (Cambridge, UK: Cambridge Univ. Press, 2015). He has served as an associate editor for three different IEEE transactions and journals, and served as a board member for IEEJ Japan, and is the founder of Bigwood Systems, Inc. (established in 1995), and of Global Optimal Technology, Inc. (established in 2000), both located in Ithaca, NY, USA.
江晓东教授毕业于美国加州大学伯克利分校，获电机与计算机工程博士。美国康奈尔大学终身教授, 电机与计算机工程系博导、数学系博导。国家引进人才，天津大学教授。1997年被选为IEEE Fellow，2006年当选长江学者特聘教授。获20项专利(美国专利18项). 江晓东教授共发表论文450余篇，被他引13,000余次，H factor of 57。
江教授于1995年创办了美国BSI（Bigwood Systems, Inc）公司, Ithaca, New York, USA, 2000年创办了美国GOT（Global Optimal technology, Inc）公司. BSI公司45客户包括世界最大的电力公司PJM Interconnection (PA, USA), California ISO (CA, USA), TVA (TN,USA), 日本最大的电力公司TEPCO (Tokyo, Japan), 英国最大的电力公司UKPN (United Kingdom Power Network), London, Mexico 最大的电力公司 CFE (Mexico City, Mexico).