Yazar "Alrajoubi, H." seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim Yok
    Öğe
    A Golden Section Search Assisted Incremental Conductance MPPT Control for PV Fed Water Pump
    (Gazi Universitesi, 2022) Alrajoubi, H.; Oncu, S.
    One way to enhance the effectiveness of photovoltaic (PV) fed water pumping applications is to maximize the solar PV energy by using a suitable design with accurate and fast maximum power point tracking (MPPT). This paper presents a new hybrid MPPT method to improve speed response and efficiency. The method is designed to control a simple standalone PV water pumping system-based single-stage brushless DC (BLDC) motor. A DC-DC converter is eliminated to improve system efficiency and reduce cost. In addition, a two-mode hybrid MPPT algorithm that incorporates the golden-section search (GSS) techniquebased MPPT algorithm with incremental conductance (INC) is implemented to enhance the global efficiency of the system. The GSS optimization method handles the initial stages to converge the global peak and helps to increase the convergence rate. In contrast, the INC MPPT method achieves sufficient accuracy with lower oscillation towards the MPPT during the final stages. The designed system is modelled, examined, and compared using traditional techniques in MATLAB/Simulink to evaluate the MPPT efficiency of the model. The results confirm that the proposed MPPT algorithm can successfully drive a 1150W BLDC motor with high tracking efficiency and reliability. The PV energy is transferred to the pump via a voltage source inverter (VSI) using the MPPT algorithm with a proportional-integral (PI) controller. As a result, the MPPT efficiency reached over 99%. © 2022, International Journal of Renewable Energy Research. All Rights Reserved.
  • Küçük Resim Yok
    Öğe
    PV Fed Water Pump System with Golden Section Search and Incremental Conductance Algorithms
    (Institute of Electrical and Electronics Engineers Inc., 2023) Alrajoubi, H.; Oncu, S.
    In this study, a novel hybrid maximum power point tracking (MPPT) algorithm is proposed for a photovoltaic (PV) fed brushless DC (BLDC) motor driven water pump. A proper design with accurate and fast MPPT is required to maximize the PV energy. In the proposed algorithm, the golden-section search (GSS) and incremental conductance (INC) based MPPT methods are used to acquire global efficiency through two loops. The GSS method quickly achieves the initial searching of the global peak, while the INC MPPT algorithm tracks the optimal power during the final loop. The algorithm model is tested under different irradiation using MATLAB/Simulink. Applying the algorithm and a proportional-integral (PI) controller yields that a voltage source inverter (VSI) transfers the optimal solar power to the pump. The BLDC motor is driven efficiently with more than 99% MPPT efficiency. © 2023 IEEE.