C
Chen Shen
Researcher at Tsinghua University
Publications - 142
Citations - 2609
Chen Shen is an academic researcher from Tsinghua University. The author has contributed to research in topics: Electric power system & AC power. The author has an hindex of 22, co-authored 123 publications receiving 2047 citations. Previous affiliations of Chen Shen include Missouri University of Science and Technology & University of Missouri.
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Application of unified power flow controller in interconnected power systems-modeling, interface, control strategy, and case study
TL;DR: In this paper, a new power frequency model for unified power flow controller (UPFC) is suggested with its DC link capacitor dynamics included, and four principal control strategies for UPFC series element main control and their impacts on system stability are discussed.
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Integration of a StatCom and Battery Energy Storage
TL;DR: In this paper, an integrated static synchronous compensator (StatCom)/BESS for the improvement of dynamic and transient stability and transmission capability was introduced, and experimental verification of the proposed controls on a scaled StatCom/BESS system was provided.
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A Distributed, Cooperative Frequency and Voltage Control for Microgrids
TL;DR: A novel secondary frequency and voltage control method for islanded microgrids based on distributed cooperative control using a sparse communication network where each DG unit only requires local and its neighbors’ information to perform control actions.
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A reconfigurable FACTS system for university laboratories
TL;DR: In this paper, the authors present the schematic and basic controls of a reconfigurable FACTS system that can be used to realize the major voltage-sourced-converter FACTS topologies: StatCom, the static synchronous series compensator (SSSC), and the unified power-flow controller (UPFC).
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A Jacobian-free Newton-GMRES(m) method with adaptive preconditioner and its application for power flow calculations
Ying Chen,Chen Shen +1 more
TL;DR: The results show that the adaptive preconditionser can enhance convergence of Newton-GMRES(m) iteration schemes greatly and has stronger robustness compared with other precondition methods.