Matches in SemOpenAlex for { <https://semopenalex.org/work/W2489991637> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2489991637 abstract "Power distribution networks are typically structured in a radial topology with extra tie switches to allow for a manual reconfiguration in case of unexpected failure or scheduled maintenance. With the implementation of the smart grid, it is now realistic to also consider the power demand fluctuation and have real-time reconfiguration of the network to always operate in the optimal topology, minimizing distribution losses. In this paper, we propose the use of a genetic algorithm to find the optimal configuration of the network. The algorithm uses a unique solution encoding based on branch weights and computes the minimum spanning tree to decode the candidate solutions. This novel encoding ensures that the radial topology of the network is maintained without the need for complex operators resulting in an efficient and powerful solver. Finally, the solver is tested on distribution networks ranging from 16 to 4400 buses. The quality of the final solutions is equal or better, the maximum network size considered is much larger and the execution time is significantly shorter than that of state-of-the-art methods." @default.
- W2489991637 created "2016-08-23" @default.
- W2489991637 creator A5038129221 @default.
- W2489991637 creator A5058300793 @default.
- W2489991637 creator A5060195111 @default.
- W2489991637 date "2016-05-01" @default.
- W2489991637 modified "2023-09-23" @default.
- W2489991637 title "New encoding based on the minimum spanning tree for distribution feeder reconfiguration using a genetic algorithm" @default.
- W2489991637 cites W113631878 @default.
- W2489991637 cites W1976667320 @default.
- W2489991637 cites W1979312646 @default.
- W2489991637 cites W2001851477 @default.
- W2489991637 cites W2015140184 @default.
- W2489991637 cites W2021605352 @default.
- W2489991637 cites W2030186864 @default.
- W2489991637 cites W2034194763 @default.
- W2489991637 cites W2047223279 @default.
- W2489991637 cites W2055529128 @default.
- W2489991637 cites W2085440908 @default.
- W2489991637 cites W2085702209 @default.
- W2489991637 cites W2099517607 @default.
- W2489991637 cites W2107165117 @default.
- W2489991637 cites W2124767421 @default.
- W2489991637 cites W2131579565 @default.
- W2489991637 cites W2160138905 @default.
- W2489991637 cites W2168910695 @default.
- W2489991637 cites W2170084995 @default.
- W2489991637 cites W2170129051 @default.
- W2489991637 cites W4241079583 @default.
- W2489991637 cites W4248129407 @default.
- W2489991637 doi "https://doi.org/10.1109/eitech.2016.7519574" @default.
- W2489991637 hasPublicationYear "2016" @default.
- W2489991637 type Work @default.
- W2489991637 sameAs 2489991637 @default.
- W2489991637 citedByCount "6" @default.
- W2489991637 countsByYear W24899916372017 @default.
- W2489991637 countsByYear W24899916372019 @default.
- W2489991637 countsByYear W24899916372020 @default.
- W2489991637 countsByYear W24899916372021 @default.
- W2489991637 countsByYear W24899916372022 @default.
- W2489991637 countsByYear W24899916372023 @default.
- W2489991637 crossrefType "proceedings-article" @default.
- W2489991637 hasAuthorship W2489991637A5038129221 @default.
- W2489991637 hasAuthorship W2489991637A5058300793 @default.
- W2489991637 hasAuthorship W2489991637A5060195111 @default.
- W2489991637 hasConcept C113174947 @default.
- W2489991637 hasConcept C11413529 @default.
- W2489991637 hasConcept C114614502 @default.
- W2489991637 hasConcept C119701452 @default.
- W2489991637 hasConcept C119857082 @default.
- W2489991637 hasConcept C125411270 @default.
- W2489991637 hasConcept C13743678 @default.
- W2489991637 hasConcept C149635348 @default.
- W2489991637 hasConcept C154945302 @default.
- W2489991637 hasConcept C1649724 @default.
- W2489991637 hasConcept C33923547 @default.
- W2489991637 hasConcept C41008148 @default.
- W2489991637 hasConcept C63645285 @default.
- W2489991637 hasConcept C64271015 @default.
- W2489991637 hasConcept C64331007 @default.
- W2489991637 hasConcept C65949645 @default.
- W2489991637 hasConcept C8880873 @default.
- W2489991637 hasConceptScore W2489991637C113174947 @default.
- W2489991637 hasConceptScore W2489991637C11413529 @default.
- W2489991637 hasConceptScore W2489991637C114614502 @default.
- W2489991637 hasConceptScore W2489991637C119701452 @default.
- W2489991637 hasConceptScore W2489991637C119857082 @default.
- W2489991637 hasConceptScore W2489991637C125411270 @default.
- W2489991637 hasConceptScore W2489991637C13743678 @default.
- W2489991637 hasConceptScore W2489991637C149635348 @default.
- W2489991637 hasConceptScore W2489991637C154945302 @default.
- W2489991637 hasConceptScore W2489991637C1649724 @default.
- W2489991637 hasConceptScore W2489991637C33923547 @default.
- W2489991637 hasConceptScore W2489991637C41008148 @default.
- W2489991637 hasConceptScore W2489991637C63645285 @default.
- W2489991637 hasConceptScore W2489991637C64271015 @default.
- W2489991637 hasConceptScore W2489991637C64331007 @default.
- W2489991637 hasConceptScore W2489991637C65949645 @default.
- W2489991637 hasConceptScore W2489991637C8880873 @default.
- W2489991637 hasLocation W24899916371 @default.
- W2489991637 hasOpenAccess W2489991637 @default.
- W2489991637 hasPrimaryLocation W24899916371 @default.
- W2489991637 hasRelatedWork W2074214908 @default.
- W2489991637 hasRelatedWork W2387385213 @default.
- W2489991637 hasRelatedWork W2418231958 @default.
- W2489991637 hasRelatedWork W2477124885 @default.
- W2489991637 hasRelatedWork W2589768050 @default.
- W2489991637 hasRelatedWork W3016811403 @default.
- W2489991637 hasRelatedWork W4206043061 @default.
- W2489991637 hasRelatedWork W2130375301 @default.
- W2489991637 hasRelatedWork W2942013815 @default.
- W2489991637 hasRelatedWork W2943635264 @default.
- W2489991637 isParatext "false" @default.
- W2489991637 isRetracted "false" @default.
- W2489991637 magId "2489991637" @default.
- W2489991637 workType "article" @default.