Personal Info

Name: Ye Guo
I am currently a Postdoc Associate at the School of Electrical and Computer Engineering, Cornell University, working with Prof. Lang Tong. I received my B.E. and Ph.D. in 2008 and 2013, both from Tsinghua University, Beijing China. 

I am interested in distributed optimization, game and market theory, state estimation, and their applications in smart grids and large energy systems. I hope my research can contribute to these theories as well as the engineering to a sustainable future.

I highlight some of my favorite publications as follows. 

Title: On Robust Tie-line Scheduling in Multi-area Power Systems [arXiv ]
Compendium: We have proposed a new algorithm that solves the distributed LP within a finite number of steps. According to our knowledge, this approach perhaps has the best convergence and computational efficiency among all distributed optimization technique. It lends itself to various engineering problems and is especially suitable for problems with relatively few but large sub-agents. It is likely to be much more efficient than algorithms like Lagrangian Relaxation,  ADMM, and Bender's Decomposition.
The convex QP can be similarly solved in a distributed way. See another publication of mine [Link]

Generalized coordinated transaction scheduling: A market approach to seamless 
Compendium: Can perfect arbitrations achieve price convergence? This paper partly answers this key question in the design of electricity market. We first generalize the state-of-the-art interchange scheduling, the coordinated transaction scheduling, by removing the proxy bus approximation. Consequently, based on the rigorous network model, we show that perfect arbitrations between regional markets can ultimately achieve seamless interfaces.

My CV is as follows:
Ye Guo,
Apr 25, 2017, 7:03 AM