ANFIS APPROACH FOR DISTRIBUTION NETWORK RECONFIGURATION
| dc.contributor.author | SYAHPUTRA, RAMADONI | |
| dc.date.accessioned | 2017-12-16T01:40:23Z | |
| dc.date.available | 2017-12-16T01:40:23Z | |
| dc.date.issued | 2017-10 | |
| dc.identifier.uri | http://repository.umy.ac.id/handle/123456789/16294 | |
| dc.description.abstract | This research was conducted to optimize the distribution system using Adaptive Neuro Fuzzy Inference System (ANFIS) method. Objective functions used are to minimize active power loss, node voltage deviation, number of switches, and maintain balance of the feeder. This function is modeled in a fuzzy set to build basic characteristics. The Method has been applied to the 32 bus IEEE standard distribution system. The simulation results show that the method used can work well. | en_US |
| dc.publisher | RIP | en_US |
| dc.title | ANFIS APPROACH FOR DISTRIBUTION NETWORK RECONFIGURATION | en_US |
| dc.type | Article | en_US |
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