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IMPROVING RADIAL POWER DISTRIBUTION SYSTEM USING NEURAL NETWORK APPROACH | ||
| AL-TAQANI | ||
| Article 1, Volume 26, Issue 5, 2013, Pages 0-0 | ||
| Author | ||
| Entidhar Mhawes Zghair | ||
| Abstract | ||
| The objective of this research is to find of the optimal location and sizes of capacitors which can be added to reduce the power losses and keep the system voltage (within its limited value). In this research, artificial neural network (ANN) a feed forward employing backpropagation for training algorithm. This Approach was used to find the optimal values of these capacitors that can be added in different location. A sensitive analysis with different load level is also employed to select the optimal locations and values of these capacitors that can be distributed in this system . Neural network and sensitivity factor are used to select the best location and size of capacitors added to the redial distribution feeder with different load level(heavy, medium, light load levels respectively). This sensitivity factor method with six candidate locations is selected for placing capacitors in the system. The results were monitored the proposed algorithm that has been implemented in technical Visual Basic V.6 software. | ||
| Keywords | ||
| Neural network; Back; propagation; redial distributed system; Reactive Power | ||
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