Hamid Bentarzi

Prof. Dr. Hamid Bentarzi

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Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

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

Representative Publications

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26 November 2015 in International Journal of System Assurance Engineering and Management
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Journal Article
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FDFatma Zohra Dekhandji
Fatma Zohra Dekhandji
LRLarbi Refoufi
Larbi Refoufi
Hamid BentarziHamid Bentarzi
Hamid Bentarzi

23 June 2014 in Journal of Energy in Southern Africa
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Journal Article
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AAAbdelkader ABDELMOUMENE
Abdelkader ABDELMOUMENE
Hamid BentarziHamid Bentarzi
Hamid Bentarzi
One of the most complex disciplines in electrical engineering is power system protection which requires not only the proper understanding of the different components of a power system and their behaviours but also a good knowledge and analysis of the abnormal circumstances and failures that can occur in any element of a power system. Moreover, the rapid changing and development in relays principles as well as in their technologies are additional factors that oblige those people working in the field to expand and update continuously their knowledge. In this paper, we shed light in the evolution of protective relays since the onset of electrical energy to currently. We try also to foresee the future prospects and trends in this area.

5 November 2019 in Engineering Optimization
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Journal Article
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BBBousaadia Baadji
Bousaadia Baadji
Hamid BentarziHamid Bentarzi
Hamid Bentarzi
ABAzzeddine Bakdi
Azzeddine Bakdi
This article presents a novel comprehensive learning bat algorithm (CLBAT) for the optimal coordinated design of power system stabilizers (PSSs) and static VAR compensator (SVC) for damping electromechanical oscillations in multi-machine power systems considering a wide range of operating conditions. The CLBAT incorporates a new comprehensive learning strategy (CLS) to improve microbat cooperation; location updating is also improved to maintain the bats’ diversity and to prevent premature convergence through a novel adaptive search strategy based on relative travelled distance. In addition, the proposed elitist learning strategy speeds up convergence during the optimization process and drives the global best solution towards promising regions. The superiority of the CLBAT over other algorithms is demonstrated via several experiments and comparisons through benchmark functions. The developed algorithm ensures convergence speed, credibility, computational resources and optimal tuning of PSSs and SVCs of multi-machine systems under different operating conditions through eigenanalysis, nonlinear simulation and performance indices.

1 April 2018
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Conference Paper
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Hamid BentarziHamid Bentarzi
Hamid Bentarzi
MTMohamed Tsebia
Mohamed Tsebia
AAAbdelkader ABDELMOUMENE
Abdelkader ABDELMOUMENE
Phasor Measurement Unit (PMU) is an instrument that has been developed for improving the protection first and then control and monitoring system in smart power grid. This advanced technology may be used to provide high-speed and coherent real-time information about the power system that is not obtainable in conventional supervisory control and data acquisition (SCADA) systems. This research work deals with the study of the conventional SCADA system that is based on RTU's and proposes how to integrate this technology PMU in SCADA system for improving its performance. To validate the present work, the performance of developed SCADA system is tested by power system Simulink model under different conditions. The obtained simulation results are satisfactory.

27 September 2012 in Wireless Personal Communications
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Journal Article
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Abdelmadjid ReciouiAbdelmadjid Recioui
Abdelmadjid Recioui
Hamid BentarziHamid Bentarzi
Hamid Bentarzi