Yazar "Alwakeel, Hussein Mohammed Ali Hammood" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim
    Öğe
    Hybrid renewable power generation and modeling (PV and wind)
    (Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2023) Alwakeel, Hussein Mohammed Ali Hammood; Çevik, Mesut
    Renewable energy sources (RES) are becoming increasingly popular for electricity generation for most global electric power grids. Governments, consumers, and investors have recognized hybrid photovoltaic (PV) and wind turbine (WT) storage system technologies as viable options for investigating power demand and reducing carbon emissions from conventional sources. Utility workers may be harmed if they fail to notice that a circuit is still powered in an islanding situation. This occurs when renewable energy sources feed electrical power despite losing external electrical grid power. This thesis proposes modified maximum power point tracking based on fractional order proportional integral (FOPI) controller to harvest the maximum power from wind and PV systems under critical conditions. In order to solve the islanding problems that arise when hybrid photovoltaic, wind turbine, and battery storage systems lose connection to the grid, an improved droop controller based on the maximum power of the PV system for antiislanding and investigating an accurate power-sharing is proposed in this work as a solution to these problems. Power set-points for inverters can vary when operating in grid-connected mode but must all be adjusted when operating in islanded mode. When operating in gridconnected mode, a hybrid system either draws power from or sends power to the primary grid depending on generation and load needs and market policies that optimize efficiency and cost. The suggested hybrid PV-wind-battery system's performance is assessed using the Matlab R2021a program. The outcomes verified the proposed controller's potential to limit DC link voltage while enabling gearless mode transfer. The energy management system (EMS) is tested in both grid-connected and islanded modes of operation to demonstrate the efficiency of the proposed droop control and the EMS-based battery controller. The total harmonic distortion of the output current at the common coupling point was reduced to 1.98%, and the efficiency of the proposed hybrid system reached 97.5%.
  • [ X ]
    Öğe
    Improvement of solar energy efficiency using solar tracking and artificial intelligence
    (Institute of Electrical and Electronics Engineers Inc., 2022) Alwakeel, Hussein Mohammed Ali Hammood; Abed, Qader Farhan Abed; Hamodat, Zaid
    Numerous kinds of solar producing devices, such as concentrators and flat-plate arrays, need that the sun be followed in order to function. The experimental technique used to model the process that must be handled or the plant with unknown characteristics is an essential part of process identification. This article aims to find and simulate a two-Axis solar tracking system utilizing artificial neural networks. In order to manage the placement of the solar tracker, a fuzzy logic controller with and without self-Tuning scaling factors has been researched and implemented. To establish which kind of controller was best in terms of performance, logic controllers were compared with proportional integral and derivative controllers. We used a number of tools and software, including MATLAB and Simulink, as well as real-Time workshop equipment, to construct the environment.