Differential Protection Of Bus Bar Based On Artificial Intelligent Approach | ||||
| The International Conference on Electrical Engineering | ||||
| Article 48, Volume 9, 9th International Conference on Electrical Engineering ICEENG 2014, May 2014, Page 1-17 PDF (2.51 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2014.30460 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Sameh. M. Elbana | ||||
| Egyptian Armed Forces. | ||||
| Abstract | ||||
| The application of Artificial Intelligent approaches was introduced recently in protection of distribution networks. These approaches started with introducing Fuzzy Inference System, then using Artificial Neural Network .In this research, the application of Adaptive Neuro Fuzzy Inference System for protection of bus bars will be illustrated. The Adaptive Neuro Fuzzy Inference System can be viewed as a fuzzy system, a neural network or fuzzy neural network. The objective of this research is firstly to detect the fault occurrence on bus bar, secondly locating the fault. The fault detector and locator are firstly trained using Adaptive Neuro Fuzzy Inference System technique and then they are tested in diversity of system conditions with respect to the fault types, inception instant, resistance and pre-fault conditions. | ||||
| Keywords | ||||
| Digital bus bar protection; phasor estimation; Current transformer saturation; fault; Adaptive Neuro Fuzzy Inference System (ANFIS) | ||||
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