
Zheng Zhang
Zheng Zhang an Assistant Professor of Electrical and Computer Engineering, University of California at Santa Barbara (UCSB). He received his Ph.D degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT), Cambridge, MA, in 2015, M.Phil degree from the University of Hong Kong in 2010, and B. Eng degree from Huazhong University of Science and Technology in 2008. His industrial experiences include Coventor Inc., Cambridge, MA, and Maxim-IC, Colorado Springs, CO, USA
Supervisors: Luca Daniel
Supervisors: Luca Daniel
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Papers by Zheng Zhang
Instead of simulating a power flow equation at all quadrature points, our approach only simulates an extremely small subset of samples. We suggest a model to exploit the underlying low-rank and sparse structure of high-dimensional simulation data arrays, making our technique applicable to power systems with many random parameters. We also present a numerical method to solve the resulting nonlinear optimization problem.
Our algorithm is implemented in MATLAB and is verified by several benchmarks in MATPOWER $5.1$. Accurate results are obtained for power systems with up to $50$ independent random parameters, with a speedup factor up to $9\times 10^{20}$.
performance. The simulation results of some circuit and MEMS examples are reported to show the effectiveness of our simulator.