Juan Shi

Dr. Juan Shi

orcid

Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

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

Representative Publications

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31 July 2015 in Neural Computing and Applications
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Journal Article
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ANAmin Noshadi
Amin Noshadi
JSJuan Shi
Juan Shi
WLWEE LEE
WEE LEE
PSPeng Shi
Peng Shi
Akhtar KalamAkhtar Kalam
Akhtar Kalam

5 November 2018 in IEEE Transactions on Power Systems
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Journal Article
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Ujjwal DattaUjjwal Datta
Ujjwal Datta
Akhtar KalamAkhtar Kalam
Akhtar Kalam
JSJuan Shi
Juan Shi
This paper investigates the enactment of Battery Energy Storage System (BESS) and Static Compensator (STATCOM) in enhancing large-scale power system transient voltage and frequency stability, and improving power export capacity within two interconnected power systems. A PI-lead and lead-lag controlled BESS is proposed for multimachine power system to provide simultaneous voltage and frequency regulation within the defined battery state-of-charge (SOC) ranges and an equivalent Finnish transmission grid is used to evaluate the system performance. According to Australian National Electricity Market (NEM) grid requirements, the performances of the proposed control schemes are compared with conventional PI controlled BESS and STATCOM under multiple temporary and permanent fault conditions. In addition, two adjacent disturbance events are also applied to evaluate system performance with BESS and STATCOM. Through simulation results, it is shown that when there is a 44% increase in power export and the STATCOM fails, incorporating BESS improves the performance and justifies the novelty of this study. Moreover, the proposed lead-lag controlled BESS manifests better transient performance than BESS with PI-lead and traditional PI controller, in the event of divergent temporary and permanent faults.

20 January 2020 in IEEE Systems Journal
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Journal Article
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MMMohammad Jafar Hadidian Moghaddam
Mohammad Jafar Hadidian Moghaddam
Akhtar KalamAkhtar Kalam
Akhtar Kalam
JSJuan Shi
Juan Shi
SNsaber arabi nowdeh
saber arabi nowdeh
Foad H. GandomanFoad H. Gandoman
Foad H. Gandoman
Abdollah AhmadiAbdollah Ahmadi
Abdollah Ahmadi
This article proposed a new model for reconfiguration and distributed generation (DG) allocation in the distribution network by considering network loss reduction and power quality improvement. The objective function aims to minimize losses and improve power quality indices by using the new antlion optimizer (ALO) algorithm. The proposed reconfiguration has been investigated on an unbalanced IEEE 33-bus grid with and without DG resources and capacitors. In this study, a branch exchange technique with an optimization method is used to determine the best network arrangement. Simulation results are implemented in different scenarios. In each of the scenarios, power quality indices and network losses before and after the optimization are compared. The results indicate that by using the proposed method, the rate of power quality indices and the losses in the case study are reduced. Also, the results of this study were compared with the results of sample studies. The results show that ALO has better performance with the goal of power loss reduction.

1 March 2004 in Control Engineering Practice
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Journal Article
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JSJuan Shi
Juan Shi
RZR. Zmood
R. Zmood
LQL. Qin
L. Qin

18 April 2020 in Energies
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Ujjwal DattaUjjwal Datta
Ujjwal Datta
Akhtar KalamAkhtar Kalam
Akhtar Kalam
JSJuan Shi
Juan Shi
To deal with the technical challenges of renewable energy penetration, this paper focuses on improving the grid voltage and frequency responses in a hybrid renewable energy source integrated power system following load and generation contingency events. A consolidated methodology is proposed to employ a battery energy storage system (BESS) to contribute to voltage regulation through droop-type control and frequency regulation by assimilated inertia emulation (IE) and droop-type control. In addition, a novel frequency-dependent state-of-charge (SOC) recovery (FDSR) is presented to regulate BESS power consumption within the FDSR constraints and recharge the battery during idle periods whenever needed. The efficacy of the proposed BESS controller is demonstrated in an IEEE-9 bus system with a 22.5% photovoltaics (PV) and wind penetration level. The simulation results obtained manifest the satisfactory performance of the proposed controller in regulating simultaneous voltage and frequency in terms of lower rate of change of frequency and better frequency nadir. Furthermore, the proposed FDSR demonstrates its superiority at the time of SOC recovery compared to the conventional approach.