L
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.
Papers
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Journal ArticleDOI
Refining health risk assessment by incorporating site-specific background concentration and bioaccessibility data of Nickel in soil.
Maosheng Zhong,Lin Jiang +1 more
TL;DR: The study indicated that incorporating site-specific background levels and bioaccessibility data of contaminants in a given site has the potential to support health risk assessment decisions and can reduce the remediation cost greatly.
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Sliding-mode perturbation observer-based sliding-mode control design for stability enhancement of multi-machine power systems:
TL;DR: The proposed control does not require an accurate system model and only one state measurement is needed, and an over-conservative control effort can be effectively avoided via perturbation compensation.
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Moment-SOS Approach to Interval Power Flow
TL;DR: A novel optimization-based method to obtain high-accuracy or even exact global solutions to IPF problems, and numerical results show the proposed method can significantly improve the interval solutions compared with recent Linear Programming (LP) relaxation method on larger systems.
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Topology Derivation and Analysis of Integrated Multiple Output Isolated DC–DC Converters With Stacked Configuration for Low-Cost Applications
TL;DR: A diversity of integrated multiple output topologies is derived with different cell connections and different cell configurations, including the asymmetrical flyback, forward as well as a half-bridge, suitable for different applications.
Journal ArticleDOI
Observer-based nonlinear control of synchronous generators with perturbation estimation
TL;DR: In this paper, a sliding mode observer is used to estimate system states and a fictitious state is introduced to represent the combinatorial effect of system uncertainties and nonlinearities, and the successful estimation of states and perturbation allows the input/output linearization of the nonlinear system without requiring the accurate model.