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
<p class="AEEEAbstract">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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
VSB-Technical University of Ostrava
2011-01-01
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| Series: | Advances in Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://advances.utc.sk/index.php/AEEE/article/view/548 |
| _version_ | 1797827120644227072 |
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| author | Nasri Abdelfatah Gasbaoui Brahim |
| author_facet | Nasri Abdelfatah Gasbaoui Brahim |
| author_sort | Nasri Abdelfatah |
| collection | DOAJ |
| description | <p class="AEEEAbstract">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.</p> |
| first_indexed | 2024-04-09T12:43:13Z |
| format | Article |
| id | doaj.art-80d3d7225f62487c8bf059df86a3aca6 |
| institution | Directory Open Access Journal |
| issn | 1336-1376 1804-3119 |
| language | English |
| last_indexed | 2024-04-09T12:43:13Z |
| publishDate | 2011-01-01 |
| publisher | VSB-Technical University of Ostrava |
| record_format | Article |
| series | Advances in Electrical and Electronic Engineering |
| spelling | doaj.art-80d3d7225f62487c8bf059df86a3aca62023-05-14T20:50:07ZengVSB-Technical University of OstravaAdvances in Electrical and Electronic Engineering1336-13761804-31192011-01-019415015610.15598/aeee.v9i4.548499Novel Power Flow Problem Solutions Method’s Based on Genetic Algorithm Optimization for Banks Capacitor Compensation Using an Fuzzy Logic Rule Bases for Critical Nodal DetectionsNasri Abdelfatah0Gasbaoui Brahim1Bechar Universityengineer<p class="AEEEAbstract">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.</p>http://advances.utc.sk/index.php/AEEE/article/view/548capacitor placementfuzzy logicgenetic algorithm optimization. |
| spellingShingle | Nasri Abdelfatah Gasbaoui Brahim 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 Advances in Electrical and Electronic Engineering capacitor placement fuzzy logic genetic algorithm optimization. |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | capacitor placement fuzzy logic genetic algorithm optimization. |
| url | http://advances.utc.sk/index.php/AEEE/article/view/548 |
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