Ali Abedaljabar Al-Samawi

Dr. Ali Abedaljabar Al-Samawi

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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 August 2022 in Energies
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Journal Article
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Ali Abedaljabar Al-SamawiAli Abedaljabar Al-Samawi
Ali Abedaljabar Al-Samawi
Hafedh TrabelsiHafedh Trabelsi
Hafedh Trabelsi
To support the grid system with high power quality from photovoltaics (PVs) and reduce the partial shading condition (PSC) effect of the PV system, as well as the mismatch power issue, in this study, we present a simple single-phase, nine-level cascade inverter architecture for photovoltaic (PV) systems with a minimum number of power components and passive parts. This reduction in the number of switches decreases the switching losses and the number of driving circuits, which causes a reduction in the complexity of the control circuit and hence reduces the cost and size. The suggested inverter shows a lower output voltage total harmonic distortion (THD) and unity power factor. In addition, this inverter’s control and switching techniques are far simpler than those of recently published designs. To evaluate the performance of the proposed inverter, we performed a comparison of the cascaded multilevel inverter (CMLI) topology, which required recent cascade topologies with the same nine voltage levels. The comparison depends on parameters such as the number of components (diode and capacitors) and the number of active switches in the inverter, in addition to total harmonic distortion. MATLAB/Simulink models for a grid-tied solar system PV application driven by the proposed nine-level inverter were built for design and validation.

13 August 2025 in Eng
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Journal Article
Open access
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Ali Abedaljabar Al-SamawiAli Abedaljabar Al-Samawi
Ali Abedaljabar Al-Samawi
Abbas Swayeh AtiyahAbbas Swayeh Atiyah
Abbas Swayeh Atiyah
Aws H. Al-JrewAws H. Al-Jrew
Aws H. Al-Jrew
Partial shading condition (PSC) for photovoltaic (PV) arrays complicates the operation of PV systems at peak power due to the existence of multiple peak points on the power–voltage (P–V) characteristic curve. Identifying the global peak among multiple peaks presents challenges, as the system may become trapped at a local peak, potentially resulting in significant power loss. Power generation is reduced, and hot-spot issues might arise, which can cause shaded modules to fail, under the partly shaded case. In this paper, instead of focusing on local peaks, several effective, precise, and dependable maximum power point tracker (MPPT) systems monitor the global peak using a fuzzy logic controller. The suggested method can monitor the total of all PV array peaks using an interleaved boost converter DC/DC (IBC), not only the global peaks. A DC/DC class boost converter (CBC), the current gold standard for traditional control methods, is pitted against the suggested converter. Four PSC-PV systems employ three-phase inverters to connect their converters to the power grid.

30 October 2018 in Muthanna Journal of Engineering and Technology
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Journal Article
Closed access
Ali Abedaljabar Al-SamawiAli Abedaljabar Al-Samawi
Ali Abedaljabar Al-Samawi

1 November 2018
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Conference Paper
Closed access
Ali Abedaljabar Al-SamawiAli Abedaljabar Al-Samawi
Ali Abedaljabar Al-Samawi
AAAbbas Swayeh Atiyah
Abbas Swayeh Atiyah
SASarmed Hmzah Ail
Sarmed Hmzah Ail
Optimal power flow is the main economic problem in power system operation. The Modified Cuckoo Search for Reactive Power (MCSRP) based on conventional Cuckoo search algorithm is suggested in this paper to solve the problem of optimal reactive power. Minimization of loss in addition to the maximization of voltage stability led to reducing the overall cost of the system. To cope with these issues, the Cuckoo search has been presented to handle effectively in this problem. This proposed algorithm has been tested on IEEE 30 - bus system and the obtained result are compared to that from another algorithm. Simulation result show that the proposed algorithm is more efficient for solving the objective function in power loss system. This algorithm is a practical study to calculate energy losses and is the best method used in economic calculations.