Stochastic charging of electric vehicles in smart power distribution grids
This work investigate the substantial factors that impact a consumer's choice with regards to the electric vehicle reception. There are numerous viewpoints that rely on the selection of the electric vehicle. Henceforth, social and additionally psychological components have a place with the cent...
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my.utp.eprints.208142019-02-26T02:26:05Z Stochastic charging of electric vehicles in smart power distribution grids Sachan, S. Adnan, N. This work investigate the substantial factors that impact a consumer's choice with regards to the electric vehicle reception. There are numerous viewpoints that rely on the selection of the electric vehicle. Henceforth, social and additionally psychological components have a place with the center choice of the selection. In this work, authors have managed the area enveloping the distinctive hypotheses that can anticipate the conduct of the purchasers.In this paper, the impact of different electric vehicles charging methods on distribution grid is assessed. This comparison is based on reduction of network peak load demand and improvement in its operating condition in perspective to voltage violations. In another charging strategy, wind power flow and resulting variation in electricity price is considered with stochastic availability of electric vehicles, i.e. arrival and departure times. Then, the charging cost is optimized (minimized) and consequently the resulting network constraints are evaluated by performing simulations. Further, in study the improvement in integration of the electric vehicles with modification in network, i.e. reformation is also suggested. © 2018 Elsevier Ltd Elsevier Ltd 2018 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045246887&doi=10.1016%2fj.scs.2018.03.031&partnerID=40&md5=a83a4a03f4bf1c4e2d45b7508e5b16c2 Sachan, S. and Adnan, N. (2018) Stochastic charging of electric vehicles in smart power distribution grids. Sustainable Cities and Society, 40 . pp. 91-100. http://eprints.utp.edu.my/20814/ |
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This work investigate the substantial factors that impact a consumer's choice with regards to the electric vehicle reception. There are numerous viewpoints that rely on the selection of the electric vehicle. Henceforth, social and additionally psychological components have a place with the center choice of the selection. In this work, authors have managed the area enveloping the distinctive hypotheses that can anticipate the conduct of the purchasers.In this paper, the impact of different electric vehicles charging methods on distribution grid is assessed. This comparison is based on reduction of network peak load demand and improvement in its operating condition in perspective to voltage violations. In another charging strategy, wind power flow and resulting variation in electricity price is considered with stochastic availability of electric vehicles, i.e. arrival and departure times. Then, the charging cost is optimized (minimized) and consequently the resulting network constraints are evaluated by performing simulations. Further, in study the improvement in integration of the electric vehicles with modification in network, i.e. reformation is also suggested. © 2018 Elsevier Ltd |
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Article |
author |
Sachan, S. Adnan, N. |
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Sachan, S. Adnan, N. Stochastic charging of electric vehicles in smart power distribution grids |
author_facet |
Sachan, S. Adnan, N. |
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Sachan, S. |
title |
Stochastic charging of electric vehicles in smart power distribution grids |
title_short |
Stochastic charging of electric vehicles in smart power distribution grids |
title_full |
Stochastic charging of electric vehicles in smart power distribution grids |
title_fullStr |
Stochastic charging of electric vehicles in smart power distribution grids |
title_full_unstemmed |
Stochastic charging of electric vehicles in smart power distribution grids |
title_sort |
stochastic charging of electric vehicles in smart power distribution grids |
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Elsevier Ltd |
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2018 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045246887&doi=10.1016%2fj.scs.2018.03.031&partnerID=40&md5=a83a4a03f4bf1c4e2d45b7508e5b16c2 http://eprints.utp.edu.my/20814/ |
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