An Artificial Intelligence Based Approach for High Impedance Faults Analysis in Distribution Networks
This paper presents a new approach for high impedance faults analysis (detection, classification and location) in distribution networks using Adaptive Neuro Fuzzy Inference System. The proposed scheme was trained by data from simulation of a distribution system under various faults conditions and te...
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| Veröffentlicht in: | International journal of system dynamics applications 2012-04, Vol.1 (2), p.44-59 |
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| container_title | International journal of system dynamics applications |
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| creator | Abdel Aziz, M S Hassan, M A. Moustafa El-Zahab, E A |
| description | This paper presents a new approach for high impedance faults analysis (detection, classification and location) in distribution networks using Adaptive Neuro Fuzzy Inference System. The proposed scheme was trained by data from simulation of a distribution system under various faults conditions and tested for different system conditions. Details of the design process and the results of performance using the proposed method are discussed. The results show the proposed technique effectiveness in detecting, classifying, and locating high impedance faults. The 3rd harmonics, magnitude and angle, for the 3 phase currents give superior results for fault detection as well as for fault location in High Impedance faults. The fundamental components magnitude and angle for the 3 phase currents give superior results for classification phase of High Impedance faults over other types of data inputs. |
| doi_str_mv | 10.4018/ijsda.2012040104 |
| format | Article |
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The fundamental components magnitude and angle for the 3 phase currents give superior results for classification phase of High Impedance faults over other types of data inputs.</description><subject>Adaptive systems</subject><subject>Artificial intelligence</subject><subject>Artificial neural networks</subject><subject>Classification</subject><subject>Dynamical systems</subject><subject>Dynamics</subject><subject>Fault detection</subject><subject>Fault location</subject><subject>Faults</subject><subject>Fuzzy</subject><subject>Fuzzy logic</subject><subject>High impedance</subject><subject>Methods</subject><subject>Networks</subject><subject>Phase current</subject><subject>Simulation methods</subject><issn>2160-9772</issn><issn>2160-9799</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kc1v3CAQxVHUSI02ufeIlEsP3XQA25ijk3ablaLm0p4RxuCw9dougxXlvy_pVvmSihAD0m-e5vEI-cDgogBWfw477MwFB8Yhv6E4IiecVbBWUql3T3fJ35MzxB3kVUEpFDshrhlpE1PwwQYz0O2Y3DCE3o3W0UuDrqPNPMfJ2Dvqp0ivQ39Ht_vZdeaR2JhlSEib0QwPGJCGkX4JmGJolxSmkX536X6Kv_CUHHszoDv7V1fk5-brj6vr9c3tt-1Vc7O2opJpraq2qmTLJTDZtbazRVn6EmrpCumFK4Wsiza79Ep5EK2xFpxrlfGdqcEaJlbk40E3j_x7cZj0PqDNjszopgU1qyQrShB5r8j5G3Q3LTEbQc2V4AXwmotMfTpQvRmcbhcMo8N8YP6HhL1ZEHUjK1ClqMo643DAbZwQo_N6jmFv4oNmoB-T0n-T0s9J5ZbNoSX04XmEp0T0y0T0pfmfzgvvr4TecnruvPgDnhesRw</recordid><startdate>20120401</startdate><enddate>20120401</enddate><creator>Abdel Aziz, M S</creator><creator>Hassan, M A. 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Moustafa ; El-Zahab, E A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c367t-96b667b27017dbcdc455f5087e47f3e53784b201f99f03bacc0eeb9afda80ca13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adaptive systems</topic><topic>Artificial intelligence</topic><topic>Artificial neural networks</topic><topic>Classification</topic><topic>Dynamical systems</topic><topic>Dynamics</topic><topic>Fault detection</topic><topic>Fault location</topic><topic>Faults</topic><topic>Fuzzy</topic><topic>Fuzzy logic</topic><topic>High impedance</topic><topic>Methods</topic><topic>Networks</topic><topic>Phase current</topic><topic>Simulation methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abdel Aziz, M S</creatorcontrib><creatorcontrib>Hassan, M A. 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| subjects | Adaptive systems Artificial intelligence Artificial neural networks Classification Dynamical systems Dynamics Fault detection Fault location Faults Fuzzy Fuzzy logic High impedance Methods Networks Phase current Simulation methods |
| title | An Artificial Intelligence Based Approach for High Impedance Faults Analysis in Distribution Networks |
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