Arwa Amer Abdulkareem
Middle Technical University

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A new topology of multilevel inverter with switches count reducing at symmetrical/asymmetrical mode Mohammed D. Albakhait; Arwa Amer Abdulkareem
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp656-666

Abstract

The multi-level inverter (MLI) has an important role in modern technologies due to its advantages. On the other hand, its circuits need a large number of switches, capacitors and direct current (DC) sources. This paper introduces a new topology for a MLI with a reduction in number of switches, no need for capacitors in exchange for an increase in number of levels in the output. The proposed model is operated in symmetric and asymmetric modes with the presence of resistive and inductive loads. Whereas, (5 and 9) output levels were obtained in symmetric and asymmetric modes, respectively. In contrast, the number of switches was halved and without need for capacitors, compared to the conventional MLI topologies not a secret that reducing the number of switches has the effect of reducing cost and complexity, in addition to the problems of balancing the voltage on capacitors. The programming environment used to build the proposed model of the MLI was MATLAB/Simulink, where the validity of the hypotheses contained in this paper were proved and the obtained results are identical to what was planned under different loads and different operation modes. In addition, the paper included a comparison study among the proposed topology and conventional topologies in terms of the number of switches, capacitors and sources.
A Load-following Particle Swarm Optimization-based Energy Management Technique for Integrating Electric Vehicles into a Renewable Microgrid System Zaid KH. Sadane; Mustafa Naozad Taifor; Arwa Amer Abdulkareem; Naseer T. Alwan
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 4 (2026): August
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i4.16850

Abstract

The growing incorporation of Electric Vehicles (EVs) and Renewable Energy Sources (RES) into power systems presents new challenges and opportunities for the operation of microgrid (MG). To solve these limitations, this article presents a novel load-following particle swarm optimization (LF-PSO)-based energy management strategy (EMS) for on-grid renewable microgrids with electric vehicle (EV) integration. The proposed EMS optimally coordinates bidirectional power flow between the photovoltaic (PV) system, EV and MG thereby ensuring stable DC-link voltage regulation, improved power quality, efficient battery management, and enhanced overall system energy efficiency. The studied microgrid in this paper is composed of a 21 kW photovoltaic array, a 355 V lithium-ion battery (60 Ah), a 750 V DC bus, a 400 V utility grid, and an electric vehicle load. The assessment of the suggested EMS has been conducted in MATLAB/Simulink across diverse irradiation and load scenarios. The findings demonstrate that the suggested EMS shows improved efficacy, thus guaranteeing the management of the EV and PV system during all atypical circumstances. The obtained results are compared with the results obtained by the classical EMS methods such as proportional-integral (PI) and artificial intelligence (AI) techniques. The proposed LF-PSO strategy reduces the DC-link voltage overshoot from about 30% to less than 5%, which is a reduction of 83.3%, and improves the transient response, power quality, and renewable energy utilization compared with the conventional PI controller.