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ew 23(1):

Research Article

VRE Integrating in PIAT grid with aFRR using PSS, MPPT, and PSO-based Techniques: A Case Study Kabertene

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  • @ARTICLE{10.4108/ew.3378,
        author={Ali Abderrazak Tadjeddine and Mohammed Sofiane Bendelhoum and Ridha Ilyas Bendjillali and Hichem Hamiani and Soumia Djelaila},
        title={VRE Integrating in PIAT grid with aFRR using PSS, MPPT, and PSO-based Techniques: A Case Study Kabertene},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={10},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2023},
        month={7},
        keywords={Integration VRE, ZIP dynamic models loads, Automatic Frequency Restoration Reserve (aFRR), Power System Stabilizers (PSS), Maximum Power Point Tracking (MPPT), Particle Swarm Optimization (PSO), PIAT grid},
        doi={10.4108/ew.3378}
    }
    
  • Ali Abderrazak Tadjeddine
    Mohammed Sofiane Bendelhoum
    Ridha Ilyas Bendjillali
    Hichem Hamiani
    Soumia Djelaila
    Year: 2023
    VRE Integrating in PIAT grid with aFRR using PSS, MPPT, and PSO-based Techniques: A Case Study Kabertene
    EW
    EAI
    DOI: 10.4108/ew.3378
Ali Abderrazak Tadjeddine1,*, Mohammed Sofiane Bendelhoum2, Ridha Ilyas Bendjillali2, Hichem Hamiani2, Soumia Djelaila2
  • 1: École Nationale Polytechnique d'Oran
  • 2: Centre Universitaire Nour Bachir El Bayadh
*Contact email: atadj1@gmail.com

Abstract

The Fluctuations in demand and weather conditions have a significant impact on the frequency and the voltage of Algeria's isolated PIAT power grid. To maintain stability and reliable power supply, it is crucial to keep these quantities close to their expected levels. An automatic (FRR) is employed to regulate real-time frequency deviations caused by integrating variable renewable energy (VRE), specifically wind and solar power in the Kabertene region. In order to mitigate wind power fluctuations, a power system stabilizer is implemented, which helps dampen oscillations. The use of Maximum Power Point Tracking (MPPT) techniques optimizes the extraction of power from solar panels under varying conditions. For efficient scheduling and dispatch of VRE generation, particle swarm optimization (PSO)-based algorithms are used. These algorithms ensure optimal utilization of renewable energy sources by considering their intermittent nature. This study proves the effectiveness of these techniques in enhancing grid stability, reducing frequency deviations, and improving VRE integration. Valuable insights are provided on their practical implementation, playing a crucial role in transitioning to a cleaner and more sustainable energy system.

Keywords
Integration VRE, ZIP dynamic models loads, Automatic Frequency Restoration Reserve (aFRR), Power System Stabilizers (PSS), Maximum Power Point Tracking (MPPT), Particle Swarm Optimization (PSO), PIAT grid
Received
2023-05-23
Accepted
2023-07-29
Published
2023-07-31
Publisher
EAI
http://dx.doi.org/10.4108/ew.3378

Copyright © 2023 Tadjeddine et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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