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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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Patent

Method for determining occurrence state of movable oil in dense oil reservoir micro/nano pore throat system

TL;DR: In this article, a method for determining the occurrence state of movable oil in a dense oil reservoir micro/nano pore throat system is presented. But the method is not suitable for the case where the oil is easy to volatilize and not easy to identify.
Journal ArticleDOI

Extraction of 2-chloroethanol from aqueous solutions by trioctylamine

TL;DR: In this paper, the authors used TOA with kerosene as a diluent to separate 2-chloroethanol from aqueous hydrochloride acid solution.
Proceedings ArticleDOI

Coordinated control for battery and supercapacitor in hybrid energy storage system in Microgrid

TL;DR: In this paper, a cooperative control strategy for a battery-supercapacitor based hybrid ESS (HESS) for both improving the transient performance of MG bus voltage and reducing the battery loss is presented.
Proceedings ArticleDOI

Nonlinear coordinated control of multi-machine power systems

TL;DR: In this paper, an observer-based nonlinear controller for the coordinated control of generators and TCSCs in multi-machine power systems is presented, which is basically on the input/output feedback linearizing control of a nonlinear system but using output feedback and perturbation estimation.
Proceedings ArticleDOI

Multi-period OPF with energy storages and renewable sources: A parallel moment approach

TL;DR: In this paper, a novel convex relaxation based decomposeition algorithm is proposed to solve the full AC multi-period OPF with energy storages and renewable sources, based on alternating direction method of multipliers (ADMM), the original time-correlated nonconvex optimization problem is decomposed into two subproblems.