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published: 2016-12-27 14:14:38       hits: 

name : CHEN Luan  Sex: Male phone:   0086-28-84393518
email: office-address: Institute Building 316,No. 2006, Xi Yuan Avenue, West High-tech Zone, Chengdu, Sichuan, 611731, P.R. China
PH.D  Supervisor: No Master Supervisor: Yes
major: Electronic Science and Technology 
research interest: Smart Grid
Biography:  An associate professor in School of Energy Science and Engineering in UESTC. His main research interest is on generation and its networking technology of renewable energy resources, and smart power grids. He has undertaken in charge or as a member several tasks include the National Natural Science Foundation, Provincial/Ministerial Foundation, University Foundation and some horizontal cooperation programs. He published over 30 papers and translated one book. He also teaches Power System Relay Protection, Automation of Power Systems, Power Electronic Technology, etc. 
Education experience: He received his Bachelor degree of  engineering from Southwest Jiaotong University in 1995,and received the Master degree of  engineering from Southwest Jiaotong University in 1998.
He worked in the University of Electronic Science and Technology since 1998.
Selected Publications: Papers and Publications
Have published over 30 teaching and researching papers, translated and published one book.
[1] Strategy on Wind Power Smoothing Subject to Target Parameters and Energy-Storage Capacity
[2] Application of conventional hydropower to power stabilizing control for grid-connected wind farm
[3] Effect of Full Capacity Water Flow on the Power Generated for Cascaded Hydroelectric Plants
[4] Grid Connection Scheduling Strategy for Pumped Storage Wind Generation Based on Spinning Reserve and Output Prediction
[5] Research on Scheduling Strategy of Wind-PV Hybrid Power System
[6] Simulating of Photovoltaic-Hydro Power Plant Mutual Compensating Systems
[7] MATLAB-based Simulation of Power System Relay Protection
[8] Modeling and Simulating of Solar-Hydro Power Generation System
[9] Study of the New Indirect Solar Maximum Power Point Tracking Algorithm
[10] Reserve capacity optimization model based on the wind speed Weibull distribution in the power system