Ji Xiang

Dr. Ji Xiang

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2007 in Automatica
Verified
Journal Article
Closed access
JXJi Xiang
Ji Xiang
GCGuanrong Chen
Guanrong Chen

27 May 2009 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
JXJi Xiang
Ji Xiang
WWWei Wei
Wei Wei
YLYanjun Li
Yanjun Li
This note addresses the problem of synchronized output regulation of linear networked system where all the nodes have their outputs track signals produced by the same exosystem and the state of exosystem is accessible only to leader nodes, while follower nodes regulate their outputs via a distributed synchronous protocol. This problem can be decoupled into two: one is the output regulation problem on the synchronous manifold and the other is the stability problem of synchronous manifold. The proposed synchronous protocol is independent of the network topology. The stability of synchronous manifold is analyzed through the permissible eigenvalue region and the requirements of information graph. Finally, a numerical example illustrates the efficacy of the presented results.

14 April 2011 in IET Control Theory & Applications
Verified
Journal Article
Closed access
YLY. Li
Y. Li
JXJi Xiang
Ji Xiang
WWW. Wei
W. Wei
A class of networked multi-agent systems is studied in this study where each agent has an identical dynamics of a simple integrator and the topology of the connections is fixed. It is proved that, when there are saturation constraints, a general consensus protocol widely used in the literatures for this class of multi-agent systems remains valid. As an extension, a ‘bang-bang’ type of consensus protocol is proposed to achieve the finite-time consensus, which relaxes the previous undirected connection assumption.

14 December 2012 in Energies
Verified
Journal Article
Open access
PDF file
JLJing Li
Jing Li
WWWei Wei
Wei Wei
JXJi Xiang
Ji Xiang
In this paper, we develop a simple algorithm to determine the required number of generating units of wind-turbine generator and photovoltaic array, and the associated storage capacity for stand-alone hybrid microgrid. The algorithm is based on the observation that the state of charge of battery should be periodically invariant. The optimal sizing of hybrid microgrid is given in the sense that the life cycle cost of system is minimized while the given load power demand can be satisfied without load rejection. We also report a case study to show the efficacy of the developed algorithm.

28 September 2016 in Energies
Verified
Journal Article
Open access
PDF file
WDWeiqiang Dong
Weiqiang Dong
YLYanjun Li
Yanjun Li
JXJi Xiang
Ji Xiang
A distributed power system with renewable energy sources is very popular in recent years due to the rapid depletion of conventional sources of energy. Reasonable sizing for such power systems could improve the power supply reliability and reduce the annual system cost. The goal of this work is to optimize the size of a stand-alone hybrid photovoltaic (PV)/wind turbine (WT)/battery (B)/hydrogen system (a hybrid system based on battery and hydrogen (HS-BH)) for reliable and economic supply. Two objectives that take the minimum annual system cost and maximum system reliability described as the loss of power supply probability (LPSP) have been addressed for sizing HS-BH from a more comprehensive perspective, considering the basic demand of load, the profit from hydrogen, which is produced by HS-BH, and an effective energy storage strategy. An improved ant colony optimization (ACO) algorithm has been presented to solve the sizing problem of HS-BH. Finally, a simulation experiment has been done to demonstrate the developed results, in which some comparisons have been done to emphasize the advantage of HS-BH with the aid of data from an island of Zhejiang, China.

4 October 2016 in IEEE Transactions on Industrial Electronics
Verified
Journal Article
Closed access
ZYZhenquan Yang
Zhenquan Yang
JXJi Xiang
Ji Xiang
YLYanjun Li
Yanjun Li
This paper studies a distributed consensus algorithm for economic dispatch in a smart grid, which aims at minimizing the total generation cost. The proposed algorithm only needs each generator in the network be aware of its local cost parameters and its neighbors' virtual incremental cost variables. The proposed algorithm is “anytime.” It does not break the supply-demand balance even in the transient process. It overcomes the defect that the trajectories of traditional consensus based algorithms are not feasible solutions before convergence. The proposed algorithm is also “anywhere.” It is applicable for the jointly connected switching undirected topology. It can gradually drive any connected region of a power system to approach its own optimal state. Simulation studies on several cases demonstrate its effectiveness.