Matches in SemOpenAlex for { <https://semopenalex.org/work/W4306750801> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4306750801 endingPage "20" @default.
- W4306750801 startingPage "13" @default.
- W4306750801 abstract "Abstract Nuclear Facility (NF), during shutdown and startup, are in the essential need for reliable electric power that should be delivered by electric power grid to NF. Safe operation of NF needs a limited variation in both frequency and voltage.The reduction of power losses, improving voltage profile, and frequency in electric grid connected with NF can be achieved by optimally distributed generators (DGs) placement. This paper presents a mathematical model for multible types of DGs placement in electric grid feeding NF. Also, it proposes artificial intelligence solution methodology for active and reactive power DGs placement problem. The trained Adaptive Neuro-Fuzzy Inference System (ANFIS) with Cat Swarm Optimization algorithm (CSO) is used for optimal solution. The optimization technique is tested and validated by using different sizes of electric grid. Test results showed a more reliable and efficient approach compared with other approachs." @default.
- W4306750801 created "2022-10-19" @default.
- W4306750801 creator A5047752329 @default.
- W4306750801 creator A5058202284 @default.
- W4306750801 date "2022-10-19" @default.
- W4306750801 modified "2023-10-01" @default.
- W4306750801 title "Improving of electric network feeding nuclear facility based on multiple types DGs placement" @default.
- W4306750801 cites W1966223101 @default.
- W4306750801 cites W1974704147 @default.
- W4306750801 cites W1975265961 @default.
- W4306750801 cites W1980674725 @default.
- W4306750801 cites W1983968772 @default.
- W4306750801 cites W1990940178 @default.
- W4306750801 cites W1990983520 @default.
- W4306750801 cites W2005649433 @default.
- W4306750801 cites W2011006463 @default.
- W4306750801 cites W2015739882 @default.
- W4306750801 cites W2040995955 @default.
- W4306750801 cites W2057569950 @default.
- W4306750801 cites W2062851655 @default.
- W4306750801 cites W2075779476 @default.
- W4306750801 cites W2160564233 @default.
- W4306750801 cites W2344132055 @default.
- W4306750801 cites W2602844318 @default.
- W4306750801 cites W2914148773 @default.
- W4306750801 cites W3166081072 @default.
- W4306750801 cites W4213216192 @default.
- W4306750801 cites W4280496913 @default.
- W4306750801 doi "https://doi.org/10.1515/kern-2022-0068" @default.
- W4306750801 hasPublicationYear "2022" @default.
- W4306750801 type Work @default.
- W4306750801 citedByCount "0" @default.
- W4306750801 crossrefType "journal-article" @default.
- W4306750801 hasAuthorship W4306750801A5047752329 @default.
- W4306750801 hasAuthorship W4306750801A5058202284 @default.
- W4306750801 hasConcept C11413529 @default.
- W4306750801 hasConcept C119599485 @default.
- W4306750801 hasConcept C121332964 @default.
- W4306750801 hasConcept C127413603 @default.
- W4306750801 hasConcept C154945302 @default.
- W4306750801 hasConcept C163258240 @default.
- W4306750801 hasConcept C165801399 @default.
- W4306750801 hasConcept C186108316 @default.
- W4306750801 hasConcept C187691185 @default.
- W4306750801 hasConcept C195975749 @default.
- W4306750801 hasConcept C200601418 @default.
- W4306750801 hasConcept C2524010 @default.
- W4306750801 hasConcept C33923547 @default.
- W4306750801 hasConcept C40293303 @default.
- W4306750801 hasConcept C41008148 @default.
- W4306750801 hasConcept C58166 @default.
- W4306750801 hasConcept C62520636 @default.
- W4306750801 hasConcept C85617194 @default.
- W4306750801 hasConceptScore W4306750801C11413529 @default.
- W4306750801 hasConceptScore W4306750801C119599485 @default.
- W4306750801 hasConceptScore W4306750801C121332964 @default.
- W4306750801 hasConceptScore W4306750801C127413603 @default.
- W4306750801 hasConceptScore W4306750801C154945302 @default.
- W4306750801 hasConceptScore W4306750801C163258240 @default.
- W4306750801 hasConceptScore W4306750801C165801399 @default.
- W4306750801 hasConceptScore W4306750801C186108316 @default.
- W4306750801 hasConceptScore W4306750801C187691185 @default.
- W4306750801 hasConceptScore W4306750801C195975749 @default.
- W4306750801 hasConceptScore W4306750801C200601418 @default.
- W4306750801 hasConceptScore W4306750801C2524010 @default.
- W4306750801 hasConceptScore W4306750801C33923547 @default.
- W4306750801 hasConceptScore W4306750801C40293303 @default.
- W4306750801 hasConceptScore W4306750801C41008148 @default.
- W4306750801 hasConceptScore W4306750801C58166 @default.
- W4306750801 hasConceptScore W4306750801C62520636 @default.
- W4306750801 hasConceptScore W4306750801C85617194 @default.
- W4306750801 hasIssue "1" @default.
- W4306750801 hasLocation W43067508011 @default.
- W4306750801 hasOpenAccess W4306750801 @default.
- W4306750801 hasPrimaryLocation W43067508011 @default.
- W4306750801 hasRelatedWork W2055661125 @default.
- W4306750801 hasRelatedWork W2079131363 @default.
- W4306750801 hasRelatedWork W2095360933 @default.
- W4306750801 hasRelatedWork W2356147391 @default.
- W4306750801 hasRelatedWork W2590068224 @default.
- W4306750801 hasRelatedWork W2953868140 @default.
- W4306750801 hasRelatedWork W3005970011 @default.
- W4306750801 hasRelatedWork W3118577868 @default.
- W4306750801 hasRelatedWork W3133856657 @default.
- W4306750801 hasRelatedWork W4244149583 @default.
- W4306750801 hasVolume "88" @default.
- W4306750801 isParatext "false" @default.
- W4306750801 isRetracted "false" @default.
- W4306750801 workType "article" @default.