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Lin Jiang

Researcher at University of Liverpool

Publications -  465
Citations -  14528

Lin Jiang is an academic researcher from University of Liverpool. The author has contributed to research in topics: Electric power system & Computer science. The author has an hindex of 50, co-authored 389 publications receiving 10061 citations. Previous affiliations of Lin Jiang include University of Sheffield & Xiamen University.

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Forecasting-Based Power Ramp-Rate Control Strategies for Utility-Scale PV Systems

TL;DR: Two innovative PRRC strategies are presented, which utilize the short-term forecasting of photovoltaic generation forecasts and require only one-quarter of the energy capacity of the conventional ESS control strategy.
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Optimal Power System Dispatch With Wind Power Integrated Using Nonlinear Interval Optimization and Evidential Reasoning Approach

TL;DR: In this article, a nonlinear interval optimization (NIO) model is proposed to solve optimal power system dispatch (OPSD) with uncertain wind power integrated. But the model is not suitable for the case of large-scale systems, where the average and deviation of the dispatching objective are also taken into account.
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Control Performance Standards-Oriented Event-Triggered Load Frequency Control for Power Systems Under Limited Communication Bandwidth

TL;DR: A decentralized control performance standards (CPSs)-oriented event-triggered LFC scheme for power systems under constrained communication bandwidth and regulation rules are designed to adjust the threshold parameter based on the North American Electrical Reliability Council (NERC) CPS1 and CPS2.
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Aerosol and environmental surface monitoring for SARS-CoV-2 RNA in a designated hospital for severe COVID-19 patients.

TL;DR: It is indicated that strict implementation of infection prevention and control procedures was highly effective in eliminating aerosol and environmental borne SARS-CoV-2 RNA thereby reducing the risk of cross-infection in hospitals.
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Configurations and control of traction motors for electric vehicles: A review

TL;DR: A comprehensive review on different configurations/ architecture of electric vehicles and hybrid electric vehicles, traction motors for electric propulsion system and high performance speed sensorless control of traction drive, with future trends and potential areas of research presented.