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Brno University of Technology, Czech Republic

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Warsaw University of Technology, Poland

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Isfahan University of Technology, Iran, Islamic Republic Of

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DIMES Department of University of Calabria, Italy

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Academy of Sciences of the Czech Republic, Czech Republic

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VSB - Technical University of Ostrava, Czech Republic

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Czech Technical University in Prague, Czech Republic

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VSB - Technical University of Ostrava, Czech Republic

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Brno University of Technology, Czech Republic

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VSB - Technical University of Ostrava, Czech Republic


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Novel Power Flow Problem Solutions Method’s Based on Genetic Algorithm Optimization for Banks Capacitor Compensation Using an Fuzzy Logic Rule Bases for Critical Nodal Detections

Nasri Abdelfatah, Gasbaoui Brahim

DOI: 10.15598/aeee.v9i4.548


Abstract

The Reactive power flow’s is one of the most electrical distribution systems problem wich have great of interset of the electrical network researchers, it’s  cause’s active power transmission reduction, power losses decreasing, and  the drop voltage’s increase. In this research we described the efficiency of the FLC-GAO approach to solve the optimal power flow (OPF) combinatorial problem. The proposed approach employ tow algorithms, Fuzzy logic controller (FLC) algorithm for critical nodal detection and gentic algorithm  optimization (GAO) algorithm for optimal seizing capacitor.GAO method is more efficient in combinatory problem solutions. The proposed approach has been examined and tested on the standard IEEE 57-bus the resulats show the power loss minimization denhancement, voltage profile, and stability improvement. The proposed approach results have been compared to those that reported in the literature recently. The results are promising and show the effectiveness and robustness of the proposed approach.

Keywords


Capacitor placement; fuzzy logic; genetic algorithm optimization.

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