Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893592382> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2893592382 endingPage "562" @default.
- W2893592382 startingPage "555" @default.
- W2893592382 abstract "In this paper, we propose an optimal charging scheduling algorithm for hybrid vehicle charging scenarios. Unlike traditional charging scheduling algorithms, which only consider the vehicle-to-vehicle (V2V) and grid-to-vehicle (G2V) scenarios, the new and hybrid charging scenario including the emerging mobile charging vehicles (MCV), i.e. mobile charging vehicle-to-vehicle (MCV2V), G2V and V2V is considered in this paper. Moreover, the proposed optimal charging scheduling framework based on consortium blockchains ensures the security and privacy of electricity trading. The proposed scheduling algorithm is based on a double-objective optimization model aiming at maximizing user’s satisfaction and minimizing users’ cost, while considering diverse metrics like location of charging and discharging entities, the time of waiting, and driving speed of EVs, etc. In order to solve the optimization model, an improved Non-dominated Sorting Genetic Algorithm (NSGA) is proposed. Experiments based on the real map of Beijing is done to evaluate the performance of proposed scheduling algorithm. The results show that the proposed algorithm can achieve better performance in terms of user’s satisfaction and user’s cost comparing with V2V based algorithm and G2V based algorithm." @default.
- W2893592382 created "2018-10-05" @default.
- W2893592382 creator A5021101912 @default.
- W2893592382 creator A5075736599 @default.
- W2893592382 creator A5078113299 @default.
- W2893592382 creator A5086894713 @default.
- W2893592382 date "2019-02-01" @default.
- W2893592382 modified "2023-10-14" @default.
- W2893592382 title "An optimal scheduling algorithm for hybrid EV charging scenario using consortium blockchains" @default.
- W2893592382 cites W1279334329 @default.
- W2893592382 cites W1900962451 @default.
- W2893592382 cites W1982544809 @default.
- W2893592382 cites W1986491220 @default.
- W2893592382 cites W1986606179 @default.
- W2893592382 cites W2005167873 @default.
- W2893592382 cites W2083287037 @default.
- W2893592382 cites W2126105956 @default.
- W2893592382 cites W2283838654 @default.
- W2893592382 cites W2317814600 @default.
- W2893592382 cites W2326874813 @default.
- W2893592382 cites W2336603544 @default.
- W2893592382 cites W2396001678 @default.
- W2893592382 cites W2503224385 @default.
- W2893592382 cites W2602114120 @default.
- W2893592382 cites W2619984247 @default.
- W2893592382 cites W2740008417 @default.
- W2893592382 cites W2776677120 @default.
- W2893592382 cites W2777447168 @default.
- W2893592382 cites W2793610021 @default.
- W2893592382 cites W364883367 @default.
- W2893592382 doi "https://doi.org/10.1016/j.future.2018.09.046" @default.
- W2893592382 hasPublicationYear "2019" @default.
- W2893592382 type Work @default.
- W2893592382 sameAs 2893592382 @default.
- W2893592382 citedByCount "79" @default.
- W2893592382 countsByYear W28935923822019 @default.
- W2893592382 countsByYear W28935923822020 @default.
- W2893592382 countsByYear W28935923822021 @default.
- W2893592382 countsByYear W28935923822022 @default.
- W2893592382 countsByYear W28935923822023 @default.
- W2893592382 crossrefType "journal-article" @default.
- W2893592382 hasAuthorship W2893592382A5021101912 @default.
- W2893592382 hasAuthorship W2893592382A5075736599 @default.
- W2893592382 hasAuthorship W2893592382A5078113299 @default.
- W2893592382 hasAuthorship W2893592382A5086894713 @default.
- W2893592382 hasConcept C11413529 @default.
- W2893592382 hasConcept C119857082 @default.
- W2893592382 hasConcept C126255220 @default.
- W2893592382 hasConcept C206729178 @default.
- W2893592382 hasConcept C33923547 @default.
- W2893592382 hasConcept C41008148 @default.
- W2893592382 hasConcept C8880873 @default.
- W2893592382 hasConceptScore W2893592382C11413529 @default.
- W2893592382 hasConceptScore W2893592382C119857082 @default.
- W2893592382 hasConceptScore W2893592382C126255220 @default.
- W2893592382 hasConceptScore W2893592382C206729178 @default.
- W2893592382 hasConceptScore W2893592382C33923547 @default.
- W2893592382 hasConceptScore W2893592382C41008148 @default.
- W2893592382 hasConceptScore W2893592382C8880873 @default.
- W2893592382 hasFunder F4320335787 @default.
- W2893592382 hasFunder F4320335789 @default.
- W2893592382 hasLocation W28935923821 @default.
- W2893592382 hasOpenAccess W2893592382 @default.
- W2893592382 hasPrimaryLocation W28935923821 @default.
- W2893592382 hasRelatedWork W1882733036 @default.
- W2893592382 hasRelatedWork W2333698505 @default.
- W2893592382 hasRelatedWork W2351491280 @default.
- W2893592382 hasRelatedWork W2371447506 @default.
- W2893592382 hasRelatedWork W2386767533 @default.
- W2893592382 hasRelatedWork W2391116541 @default.
- W2893592382 hasRelatedWork W2546696010 @default.
- W2893592382 hasRelatedWork W2997221951 @default.
- W2893592382 hasRelatedWork W303980170 @default.
- W2893592382 hasRelatedWork W3174582865 @default.
- W2893592382 hasVolume "91" @default.
- W2893592382 isParatext "false" @default.
- W2893592382 isRetracted "false" @default.
- W2893592382 magId "2893592382" @default.
- W2893592382 workType "article" @default.