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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control)
Mohamed Cherkaoui
Mohammed V University in Rabat
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Design and implementation of an optimized multilevel power inverter structure based on C MEX and PSPICE Mohammed Setti; Mohamed Cherkaoui
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (14.994 KB) | DOI: 10.11591/ijpeds.v11.i3.pp1388-1397

Abstract

In this paper, both symmetric and asymmetric operations for an optimized cascaded multilevel power inverter (MLI) are thoroughly examined. While symmetric configurations are more suitable for AC drives due to their equal power sharing among the various levels, the asymmetric topologies fulfill the higher number of power source combinations under the same power semiconductor switch count. Additionally, particular attention was put on the design of this optimized topology in terms of both reliability and power efficiency by managing redundant states and minimizing the number of power switch commutations. Furthermore, a fundamental switching frequency modulation (FSFM) is thoroughly described in C MEX programming language and then the resulting gating signals are fed into the power circuit designed with PSPICE. By applying this co-simulation approach, the control design task is greatly simplified while achieving advanced analyses with more realistic electronic devices.
Improved backtracking search optimization algorithm for PV/Wind/FC system Jihane Kartite; Mohamed Cherkaoui
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 1: February 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i1.11887

Abstract

This paper uses a novel optimization method based on the improved backtracking search optimization algorithm (IBSA). The study is conducted for a hybrid stand-alone system composed of photovoltaic panel (PV), wind turbine generator and fuel cell electrolyzer (FC). To demonstrate the effectiveness of the IBSA, four benchmark functions are used. The result shows the better exploration and exploitation of the improved backtracking search optimization algorithm in terms of convergence and speed for system comprinsing PV panel wind, turbine generator and fuel cell. The proposed algorithm is used to optimize the annual total cost (ATC) of the energy produced and feed up the load demand. The economic evaluation of the Hybrid PV/Wind/FC system is done throughout hourly demand and daily wind speed and insulation. The simulation results justify the robustness of the IBSA.
Co-Authors Jihane Kartite Mohammed Setti