Electrical and Electronic Engineering Center

  • Name:Wang Xin
  • Title:Associate Professor
  • Office:5-306
  • Office Phone:+862134204622
  • Email:wangxin26@sjtu.edu.cn
  • Website:

Research Field

Distributed generation, transmission, storage and forecasting technology of renewable energy resource, distributed control and optimization of microgrid, and on-line monitoring and fault diagnosis of power equipment, etc.

Education

Ph.D from Northeastern University in 2002
Master Degree from Northeastern University in 1998
Bachelor Degree from Shanghai Jiao Tong University in 1993

Work experience

Visiting Scholarship in New Mexico State University, USA from 2014 to 2015
Post Doctor in Shanghai Jiao Tong University, from 2002 to 2004

Research

From 2004, he has been in charge of 3 state-level research projects including the National Natural Science Foundation of China and State 863 projects, and participated in more the 10 research projects including the National Natural Science Foundation of China.
Meanwhile, he has been in charge of 10 Enterprise Projects from State Grid Corporation of China, Baoshan Iron & Steel Company, of which the total amount is more than 6 million RMB

Awards and Honors

He was the recipient of the first prize of Jiangxi Province Natural Science Award in 2010, the first prize of Jilin Province Power Industry Science and Technology Progress Award in 2011 and the second prize of China Machinery Industry Science and Technology Award in 2010. He also rewarded as an excellent server in Shanghai Jiao Tong University as the excellent teacher award in 2010, 2011 and 2012.

Teaching

Undergraduate course: Electrical Engineering
Graduate course: PID Controller Design & Tuning Technology.

Publications

Over 100 Journal papers
[1] Distributed Subgradient-Based Coordination of Multiple Renewable Generators in a Microgrid, IEEE Transactions on Power Systems, 2014, 29(1): 23-33. (SCI, EI)
[2] Multiple Models Adaptive Control for Linear-Bounded Nonlinear Systems, IEEE Transactions on Automatic Control, accepted (SCI, EI)
[3] A novel method for monitoring processes with multi-state modes, Control Engineering Practice, 2013, 21(12): 1788-1794 (SCI, EI)
[4] Multi-model Direct Adaptive Decoupling Control with Application to the Wind tunnel System, ISA Transactions, 2005, 44(1): 131-143 (SCI, EI)
[5] Multivariable Direct Adaptive Decoupling Controller Using Multiple Models and a Case Study. Science in China Series F, 2009, 52(7), 1165-1176 (SCI)

Others

I do some research both in Electrical Engineering and Control Theory & Engineering.
Electrical Engineering:Distributed generation, transmission, storage and forecasting technology of renewable energy resource, distributed control and optimization of microgrid, and on-line monitoring and fault diagnosis of power equipment, etc.
Control Theory & Engineering:multiple models adaptive control, multivariable intelligent decoupling control, fuzzy, neural network, expert system and other intelligent control, PSO, GSO and other intelligent optimization method, modeling, control and optimization of complex industrial processes and so on