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

Authors

DOI:

https://doi.org/10.4108/ew.3378

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

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.

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Author Biography

Ali Abderrazak Tadjeddine, École Nationale Polytechnique d'Oran

SCAMRE Laboratory

Department of Technology, Technological Institute, University Center Nour Bachir El Bayadh, Algeria

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Published

31-07-2023

How to Cite

1.
Tadjeddine AA, Bendelhoum MS, Bendjillali RI, Hamiani H, Djelaila S. VRE Integrating in PIAT grid with aFRR using PSS, MPPT, and PSO-based Techniques: A Case Study Kabertene. EAI Endorsed Trans Energy Web [Internet]. 2023 Jul. 31 [cited 2024 Jun. 14];10. Available from: https://publications.eai.eu/index.php/ew/article/view/3378