Optimal Operation for a Faulted PV System Using Genetic Algorithm. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 5, Volume 31, Issue 2, June 2006, Page 1-6 PDF (205.84 K) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2020.129604 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Sahar Sidky El-Hifney Kaddah* | ||||
| Electrical Engineering Department., Faculty of Engineering., El-Mansoura Unin=versity., Mansora., Egypt | ||||
| Abstract | ||||
| The need to optimize the operation of PV systems is justified by the fact that PV systems are expensive to build, fuel- free source, and it is therefore natural that user of sulci systems would want them to perform it their most optimal point. Under the faulted condition, the power curve has a multi-picture; conventional optimization techniques can easily fall down in local optimal and initial point problems. Genetic algorithm as a global optimization technique is adopted to optimize photovoltaic power system under different faulted conditions. The proposed PV system and GA scheme is tested for the three-array PV system under different faulted conditions and the simulation results shown in the paper. It is shown from the results that the genetic algorithm captured the exact optimization point accurately. | ||||
|
Statistics Article View: 75 PDF Download: 149 |
||||
