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Wei Ren
Researcher at General Electric
Publications - 35
Citations - 1349
Wei Ren is an academic researcher from General Electric. The author has contributed to research in topics: Hardware-in-the-loop simulation & AC power. The author has an hindex of 14, co-authored 31 publications receiving 1242 citations. Previous affiliations of Wei Ren include Eaton Corporation & Florida State University.
Papers
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Journal ArticleDOI
Improve the Stability and the Accuracy of Power Hardware-in-the-Loop Simulation by Selecting Appropriate Interface Algorithms
TL;DR: Through Matlab simulations and field experiments of two representative power HIL examples, it is revealed that certain interface algorithms exhibit higher stability and accuracy than the others under the given conditions.
Journal ArticleDOI
A Megawatt-Scale Power Hardware-in-the-Loop Simulation Setup for Motor Drives
TL;DR: It is concluded that PHIL simulations at the megawatt power level are possible and may prove useful for validating models of drive systems in the future.
Proceedings ArticleDOI
Improve the Stability and the Accuracy of Power Hardware-in-the-Loop Simulation by Selecting Appropriate Interface Algorithms
TL;DR: Through Matlab simulations and field experiments of two representative power HIL examples, it is revealed that certain interface algorithms exhibit higher stability and accuracy than the others under the given conditions.
Journal ArticleDOI
Interfacing Issues in Real-Time Digital Simulators
Wei Ren,M. Sloderbeck,Michael Steurer,Venkata Dinavahi,Taku Noda,S Filizadeh,A. R. Chevrefils,Mahmoud Matar,R Iravani,Christian Dufour,Jean Belanger,M.O. Faruque,Kai Strunz,Juan A. Martinez +13 more
TL;DR: The current state-of-the-art in interfacing issues related to real-time digital simulators employed in the simulation of power systems and power-electronic systems are dealt with.
Journal ArticleDOI
A Refined Frequency Scan Approach to Sub-Synchronous Control Interaction (SSCI) Study of Wind Farms
Wei Ren,Einar Vaughn Larsen +1 more
TL;DR: In this paper, a two-dimensional transfer function approach is proposed to ensure accuracy when evaluating SSCI aspects of power-electronic equipment such as renewable generation, such as wind farms.