Browsing by Author "Omar, Fuad Alhaj"

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Citation - Scopus: 11
A Critical Evaluation of Maximum Power Point Tracking Techniques for Pv Systems Working Under Partial Shading Conditions
(2023) Omar, Fuad Alhaj; Pamuk, Nihat; Kulaksız, Ahmet Afşin
Photovoltaic (PV) energy is a promising source of renewable energy which is sturdy and environmentally friendly. PV generation systems, once installed, produce electricity from solar irradiance without emitting greenhouse gases. To maximize the output power of PV systems, the maximum power point tracking system has been employed (MPPT). The MPPT constitutes a fundamental part of PV systems. In recent years, a large number of MPPT techniques have been proposed. This paper is set up to critically review some of the proposed maximum power point tracking (MPPT) techniques to handle the emergence of multiple MPPs in PV panel characteristics due to the partial shading conditions (PSCs). To define the working principle and the pros and cons of the different proposed techniques clearly and sequentially, they are divided into three groups as follows: conventional MPPT techniques, improved MPPT techniques and artificial intelligence- based MPPT techniques to deal with PSCs. The paper also critically summarizes the findings in terms of their performance in capturing the global maximum power point (GMPP) for PV systems operating under PSCs.
Citation - WoS: 20
Citation - Scopus: 21
Design of a Fuzzy Logic-Based Mppt Controller for a Pv System Employing Sensorless Control of Mras-Based Pmsm
(INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS, 2020) Anwer, Abbas Mahmood Oghor; Omar, Fuad Alhaj; Kulaksız, Ahmet Afşin
The permanent magnet synchronous motors (PMSM) are widely employed in industrial, robotic, water pumping and HVAC applications due to their numerous benefits such as small size, high-energy efficiency, high performance, low inertia and the ability to operate in full load at low speeds. In case the PMSM drive system is supplied from photovoltaic (PV) modules, it can be a perfect match for water pumping or HVAC applications. In such a system, in order to extract full energy from PV modules, a maximum power point tracking (MPPT) algorithm must be employed. This article presents a PV system-fed PMSM drive system with sensorless speed control. The proposed system consists of two main parts. The first part deals with MPPT algorithm based on fuzzy logic controller and the second part deals with PMSM drive system with a sensorless speed estimator by using Model Reference Adaptive System (MRAS) approach to eliminate the use of an encoder. The operation of PMSM is accomplished by using the vector control method to obtain a similar dynamic of the DC motor. The overall system is modelled in Matlab/Simulink environment and simulation results are collected under various operating conditions.
Citation - WoS: 10
Citation - Scopus: 11
Experimental Evaluation of a Hybrid Global Maximum Power Tracking Algorithm Based on Modified Firefly and Perturbation and Observation Algorithms
(SPRINGER LONDON LTD, 2021) Omar, Fuad Alhaj; Kulaksız, Ahmet Afşin
The classical maximum power point tracking (MPPT) approaches are powerful under uniform irradiance conditions. However, under partial shading conditions, they fail to find the global maximum power point (GMPP) and are trapped in one of the local maximum power points (MPPs), resulting in loss of power. This paper presents an experimental investigation of a novel hybrid MPPT approach for photovoltaic systems working under partial shading conditions (PSCs). In the proposed hybrid approach, the firefly algorithm (FA) is modified and employed for global searching through two loops, and the perturbation and observation (P&O) algorithm is used for local searching through one loop. The model of the proposed algorithm is built in the environments of MATLAB/Simulink and Proteus virtual system modeling (VSM) while the experimental study is conducted using a 32-bit microcontroller. The simulation and experimental results are collected under irregular irradiance conditions and PSCs. The results demonstrate that the proposed algorithm exhibits superior performance in the task of finding and tracking the GMPP, shows high sensitivity in capturing any variation in atmospheric conditions, reduces the convergence time to the GMPP and reduces the steady-state oscillation around the optimal operating point. This finding has important implications for developing photovoltaic generation systems.
Citation - WoS: 2
Citation - Scopus: 4
Rapid Control Prototyping Based on 32-Bit Arm Cortex-M3 Microcontroller for Photovoltaic Mppt Algorithms
(INT JOURNAL RENEWABLE ENERGY RESEARCH, 2019) Omar, Fuad Alhaj; Gökkuş, Göksel; Kulaksız, Ahmet Afşin
Since the beginning of the war in Syria, most of the electricity infrastructure has been destroyed, leaving millions with unreliable energy. In such regions vulnerable to energy insecurity, an alternative means of electricity production is sought. As an attractive option, the interest is directed to solar energy. However, because of a lack of expertise in solar energy conversion and the high cost of smart technology in these regions, people have typically used photovoltaic systems in primitive ways, in which the efficiency of solar energy conversion is low. There is, therefore, a need for inexpensive, easy-to-implement, yet highly efficient and high performing solutions. STMicroelectronics 32-bit ARM as a maximum power point tracking (MPPT) controller offers a potential solution to the problem of low conversion efficiency in stand-alone solar systems. In this study, using Matlab-Simulink and STMicrelectronics-32 bit ARM board, simulation and practical test is set up to evaluate the performance of the Perturbation & Observation, Incremental Conductance, and Fuzzy Logic MPPT algorithms, in order to determine the most appropriate algorithm to use in small scale solar energy systems. Therefore, the objective of this study is to explore rapid control prototyping tools for saving time and effort to the experts in the implementation process of the proposed systems. The results indicate the effectiveness of the fuzzy logic algorithm to draw more energy, decrease oscillation and provide a fast response under variable weather conditions. Furthermore, the three algorithms were able to find and track MPP.
ŞEBEKEDEN BAĞIMSIZ FV SİSTEMDE MAKSİMUM GÜÇ NOKTASI TAKİP ALGORİTMALARININ DEĞİŞKEN HAVA ŞARTLARI ALTINDA KARŞILAŞTIRMALI ANALİZİ
(2019) Omar, Fuad Alhaj; Gökkuş, Göksel; Kulaksız, Ahmet Afşin
Güneş enerjisi en uygun alternatif enerji kaynağıdır; buna ek olarak güneş enerjisi teknolojilerinin uygulanması, elektrik enerjisi taleplerini güvenceye almanın yanı sıra çevre kirliliği ve elektrik üretim maliyetlerini de azaltabilir. Bu çalışmada, maksimum güç noktası takip (MGNT) sistemlerinde kullanılan üç algoritmanın değerlendirilmesi ele alınmaktadır. Bunlar sırası ile Değiştir ve Gözetle (D&G), Artımlı İletkenlik (Aİ) ve Bulanık Mantık (BM) tabanlı algoritmalardır. Bu algoritmalar basitliği ve gerçekleştirme kolaylığı nedeniyle MGNT'de en çok kullanılanlar olarak kabul edilirler. Algoritmalar Matlab/Simulink ortamında tasarlanmış ve üç algoritmanın matematik modelleri çeşitli hava koşullarında test edilmiştir. Benzetimler sonunda bu üç algoritma içerisinden bulanık mantık algoritmasının diğerlerine oranla daha fazla enerji sağlayabildiği, daha az salınım yaptığı ve değişken hava koşulları altında daha hızlı yanıt verdiği gözlenmiştir.
Citation - WoS: 5
Citation - Scopus: 12
Sensorless Control of a Pmsm Drive Using Ekf for Wide Speed Range Supplied by Mppt Based Solar Pv System
(KAUNAS UNIV TECHNOLOGY, 2020) Anwer, Abbas Mahmood Oghor; Omar, Fuad Alhaj; Bakır, Hale; Kulaksız, Ahmet Afşin
In photovoltaic (PV) applications, employing Surface-Mounted Permanent Magnet Synchronous Motor (SMPMSM) can be a suitable option, especially for solar pumping and Heating, Ventilation, and Air Conditioning (HVAC) applications. However, when the motor loads are supplied from varying and limited energy sources, such as solar PV, it is vital to determine operating behavior and provide a stable operation for a wide range of operating conditions. In this study, the operating stability of Permanent Magnet Synchronous Motor (PMSM) was improved by sensorless Field Oriented Control (FOC) based on Extended Kalman Filter (EKF). In order to achieve optimal operation of the PV system under various meteorological conditions and load variations, an incremental conductance approach based maximum power point tracking (MPPT) system was introduced. For estimation of the speed of PMSM in wide speed range, instead of using a hybrid estimation strategy, fixed d-axis current with EKF was applied to the low-speed regions of SMPMSM, while in the medium and high speed regions, the d-axis current was set to zero. The major contributions of this paper are to reduce complexity of the control method and testing the method in a photovoltaic system with MPPT operation. The complete system was modeled in a Matlab/Simulink environment and simulation results are shown according to a wide range of operating conditions.