topic： fast time-domain simulation using semi- analytic solutions of power system daes
lecturer: dr. kai sun assistant professor, the university of tennessee
time： 2:00-3:30 pm, may 13, 2015
site： 3-102, west main-building
abstract：this presentation introduces an alternative, semi-analytical approach to solution of the initial value problem of power system differential-algebraic equations. different from the traditional numerical integration based approach, this new approach applies the adomian decomposition method to derive an approximate solution, called a semi-analytic solution, as a closed-form explicit function of time, the initial state and parameters on the system condition. such a solution directly describes the system’s trajectory being accurate over a certain time window. then, a multi-stage scheme repeatedly applying that solution for sequential time windows is able to give the system’s trajectory for a desired simulation period without iterative computations at each time step as numerical integration does. the time performance of the new approach for time-domain simulation is compared with the traditional runge–kutta method.
联系人:梅生伟（94778）
about the speaker:
kai sun is an assistant professor with the department of electrical engineering and computer science in the university of tennessee, knoxville. he is also a member with the curent (center for ultra-wide-area-resilient electric energy transmission networks). kai sun received a bachelor’s degree in automation in 1999 and a ph.d. degree in control science and engineering in 2004 from tsinghua university in beijing, china.
before coming to the utk, dr. sun was a project manager with the epri (electric power research institute) in palo alto, california from 2007 to 2012 for the r&d programs in grid operations and planning and renewable integration. earlier, he worked as a research associate at arizona state university in tempe and a postdoctoral fellow at the university of western ontario in london, ontario. his current research activities focus on wide-area measurements based power system analysis and control, and complex systems.
