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    Öğe
    Grid interconnection solutions and power quality enhancement for a battery-supported hybrid PV system
    (Nigde Omer Halisdemir University, 2025) Güzey, Batuhan; Bozkurt, Helin; Teke, Ahmet
    The energy demand is increasing unprecedentedly day by day due to the rapid development of technology. Clean and sustainable energy sources are used more intensively to meet environmental demands. This paper aims to design a grid-connected hybrid system consisting of a 12.45 kW Photovoltaic (PV) system and a 10 kWh capacity battery energy storage system (BESS). In the design procedure, Perturb and Observe (P&O), Incremental Conductance (INC), Artificial Neural Network (ANN), and Hybrid Maximum Power Point Tracking (MPPT) algorithms are implemented and tested. The most efficient method is selected to yield the maximum power output from the PV module under a variety of environmental conditions. Since the capacity of PV and BESS are different, it is determined that Total Harmonic Distortion (THD) of injected current is high during night mode. To solve this issue and enhance power quality, a double-mode LCL filter is developed. When a single-mode LCL filter is used, the THD value is obtained as 4.8%. In the two-mode LCL filter application, this value has been reduced to 3.2%. The overall efficiency is measured as 97.5% under low irradiation conditions for the system with ANN-MPPT.
  • [ X ]
    Öğe
    Power Quality Enhancement in Hybrid PV-BES System based on ANN-MPPT
    (Tubitak Scientific & Technological Research Council Turkey, 2024) Bozkurt, Helin; Celik, Ozgur; Teke, Ahmet
    Battery energy systems (BESs) assisted photovoltaic (PV) plants are among the popular hybrid power systems in terms of energy efficiency, energy management, uninterrupted power supply, grid-connected and off-grid availability. The primary objective of this study is to enhance the power quality of a grid-tied PV-BES hybrid system by developing an operational strategy based on artificial neural network (ANN) based maximum power point tracking (MPPT) method. A test system comprising a 10-kWh BES and a 12.4 kW PV plant is structured and simulated on the MATLAB/Simulink platform. The hybrid system is validated with three different cases: constant radiation, rapid changing radiation, and real-day solar radiation data from the Turkish State Meteorological Service of Tarsus (Mersin, Turkiye) employing the developed operational strategy. These cases involve the examination of three distinct MPPT methods, analyzing DC-link voltage, battery state of charge (SOC), current, voltage, and system total harmonic distortion (THD). The simulation results indicate that the developed operational strategy with the ANN-MPPT method yields superior THD results in output current and a more stable DC-link voltage. Furthermore, the strategy shows improved convergence speed and reduced oscillations to achieve diverse reference operating points under varying atmospheric conditions compared to conventional MPPT methods. Numerical results demonstrate that the developed operational strategy with the ANN-MPPT consistently maintains THD values below 3% and exhibits a stable DC-link voltage deviation of 1.42% in various charging modes for both rapidly changing radiation and real-day solar radiation data.