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Xiaoqing Lu
Researcher at Wuhan University
Publications - 76
Citations - 2194
Xiaoqing Lu is an academic researcher from Wuhan University. The author has contributed to research in topics: Microgrid & AC power. The author has an hindex of 20, co-authored 74 publications receiving 1634 citations. Previous affiliations of Xiaoqing Lu include RMIT University & Hunan University.
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Droop-Based Distributed Cooperative Control for Microgrids With Time-Varying Delays
TL;DR: A droop-based distributed cooperative control scheme for microgrids under a switching communication network with non-uniform time-varying delays that guarantees the stability and reliability of the microgrid.
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Distributed Secondary Voltage and Frequency Control for Islanded Microgrids With Uncertain Communication Links
TL;DR: This paper presents a robust distributed secondary control (DSC) scheme for inverter-based microgrids (MGs) in a distribution sparse network with uncertain communication links using the iterative learning mechanics to enable all the distributed energy resources in an MG to achieve the voltage/frequency restoration and active power sharing accuracy.
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A Novel Distributed Secondary Coordination Control Approach for Islanded Microgrids
TL;DR: A finite time frequency regulation strategy containing a consensus-based distributed active power regulator is presented, which can not only guarantee the active power sharing but also enable all DGs’ frequencies to converge to the reference value within a finite time.
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Distributed Multi-DER Cooperative Control for Master-Slave-Organized Microgrid Networks With Limited Communication Bandwidth
TL;DR: This paper develops a novel distributed iterative event-triggered control scheme for a master-slave-organized dc microgrid network with limited communication bandwidth that can synchronize the voltage of multiple distributed energy resources to their desired value through limited-bandwidth communication links.
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Stochastic Distributed Secondary Control for AC Microgrids via Event-Triggered Communication
TL;DR: The graph theory, stochastic theory and Lyapunov functional approach are employed to derive the stability and convergence analysis of the proposed dynamic event-triggered conditions considering noise interferences.