Matches in SemOpenAlex for { <https://semopenalex.org/work/W2958868949> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2958868949 abstract "There are multiple reasons that distributed generation systems are exposed to faults and errors. Among them we can consider the most common ones being failure of the power system components or lighting strikes. Power system failure is usually caused by components failure, human error or equipment aging. The above-mentioned events affect the power system reliability and imply expensive repairs, lost of productivity and dissatisfied customers. Due to the fact that faults are unpredictable, fast fault location and isolation is necessary to minimize the impact of fault in distribution systems. Therefore, many methods have been previously developed by researchers to locate and detect these faults in distribution power systems that incorporate distributed generation. The main available methods can be split into two categories: conventional and artificial intelligence techniques. Conventional methods are composed of travelling wave method and impedance-based method while artificial intelligence techniques include Artificial Neural Network, Support Vector Machine, Fuzzy Logic, Genetic Algorithm and matching approach. However, fault detection using intelligent methods are difficult to implement due to the fact that it requires training data for processing and also are time consuming. This paper presents some of the newly introduced artificial intelligence techniques for islanding detection in distributed generation power networks. Research works in islanding detection, control algorithms, advantages and disadvantages are presented, hence the opportunities in islanding detection research area in power distribution system can be explored further." @default.
- W2958868949 created "2019-07-23" @default.
- W2958868949 creator A5021603370 @default.
- W2958868949 creator A5030403040 @default.
- W2958868949 creator A5052300159 @default.
- W2958868949 creator A5058140158 @default.
- W2958868949 date "2019-05-01" @default.
- W2958868949 modified "2023-10-16" @default.
- W2958868949 title "Artificial Intelligence Techniques for Fault Location and Detection in Distributed Generation Power Systems" @default.
- W2958868949 cites W1980013400 @default.
- W2958868949 cites W1987548017 @default.
- W2958868949 cites W2007552237 @default.
- W2958868949 cites W2012064257 @default.
- W2958868949 cites W2024652979 @default.
- W2958868949 cites W2050569009 @default.
- W2958868949 cites W2061754488 @default.
- W2958868949 cites W2068121651 @default.
- W2958868949 cites W2072497413 @default.
- W2958868949 cites W2075230931 @default.
- W2958868949 cites W2111549052 @default.
- W2958868949 cites W2114264037 @default.
- W2958868949 cites W2132882802 @default.
- W2958868949 cites W2159395316 @default.
- W2958868949 cites W2421871944 @default.
- W2958868949 cites W2509844554 @default.
- W2958868949 cites W2522959923 @default.
- W2958868949 cites W2561077689 @default.
- W2958868949 doi "https://doi.org/10.1109/mps.2019.8759662" @default.
- W2958868949 hasPublicationYear "2019" @default.
- W2958868949 type Work @default.
- W2958868949 sameAs 2958868949 @default.
- W2958868949 citedByCount "8" @default.
- W2958868949 countsByYear W29588689492020 @default.
- W2958868949 countsByYear W29588689492021 @default.
- W2958868949 countsByYear W29588689492022 @default.
- W2958868949 countsByYear W29588689492023 @default.
- W2958868949 crossrefType "proceedings-article" @default.
- W2958868949 hasAuthorship W2958868949A5021603370 @default.
- W2958868949 hasAuthorship W2958868949A5030403040 @default.
- W2958868949 hasAuthorship W2958868949A5052300159 @default.
- W2958868949 hasAuthorship W2958868949A5058140158 @default.
- W2958868949 hasConcept C119599485 @default.
- W2958868949 hasConcept C121332964 @default.
- W2958868949 hasConcept C127313418 @default.
- W2958868949 hasConcept C127413603 @default.
- W2958868949 hasConcept C152745839 @default.
- W2958868949 hasConcept C154945302 @default.
- W2958868949 hasConcept C163258240 @default.
- W2958868949 hasConcept C165205528 @default.
- W2958868949 hasConcept C172707124 @default.
- W2958868949 hasConcept C175551986 @default.
- W2958868949 hasConcept C188573790 @default.
- W2958868949 hasConcept C200601418 @default.
- W2958868949 hasConcept C2778675665 @default.
- W2958868949 hasConcept C41008148 @default.
- W2958868949 hasConcept C43214815 @default.
- W2958868949 hasConcept C50644808 @default.
- W2958868949 hasConcept C544738498 @default.
- W2958868949 hasConcept C58166 @default.
- W2958868949 hasConcept C62520636 @default.
- W2958868949 hasConcept C79403827 @default.
- W2958868949 hasConcept C89227174 @default.
- W2958868949 hasConceptScore W2958868949C119599485 @default.
- W2958868949 hasConceptScore W2958868949C121332964 @default.
- W2958868949 hasConceptScore W2958868949C127313418 @default.
- W2958868949 hasConceptScore W2958868949C127413603 @default.
- W2958868949 hasConceptScore W2958868949C152745839 @default.
- W2958868949 hasConceptScore W2958868949C154945302 @default.
- W2958868949 hasConceptScore W2958868949C163258240 @default.
- W2958868949 hasConceptScore W2958868949C165205528 @default.
- W2958868949 hasConceptScore W2958868949C172707124 @default.
- W2958868949 hasConceptScore W2958868949C175551986 @default.
- W2958868949 hasConceptScore W2958868949C188573790 @default.
- W2958868949 hasConceptScore W2958868949C200601418 @default.
- W2958868949 hasConceptScore W2958868949C2778675665 @default.
- W2958868949 hasConceptScore W2958868949C41008148 @default.
- W2958868949 hasConceptScore W2958868949C43214815 @default.
- W2958868949 hasConceptScore W2958868949C50644808 @default.
- W2958868949 hasConceptScore W2958868949C544738498 @default.
- W2958868949 hasConceptScore W2958868949C58166 @default.
- W2958868949 hasConceptScore W2958868949C62520636 @default.
- W2958868949 hasConceptScore W2958868949C79403827 @default.
- W2958868949 hasConceptScore W2958868949C89227174 @default.
- W2958868949 hasLocation W29588689491 @default.
- W2958868949 hasOpenAccess W2958868949 @default.
- W2958868949 hasPrimaryLocation W29588689491 @default.
- W2958868949 hasRelatedWork W1988832839 @default.
- W2958868949 hasRelatedWork W1990244371 @default.
- W2958868949 hasRelatedWork W1991842351 @default.
- W2958868949 hasRelatedWork W2009485130 @default.
- W2958868949 hasRelatedWork W2211847817 @default.
- W2958868949 hasRelatedWork W2375857533 @default.
- W2958868949 hasRelatedWork W2393654445 @default.
- W2958868949 hasRelatedWork W2599055790 @default.
- W2958868949 hasRelatedWork W3040300087 @default.
- W2958868949 hasRelatedWork W1894887493 @default.
- W2958868949 isParatext "false" @default.
- W2958868949 isRetracted "false" @default.
- W2958868949 magId "2958868949" @default.
- W2958868949 workType "article" @default.