Scipediacontent: Scipediacontent moved page Draft Content 251841105 to Morais et al 2020a

2021-02-12T13:40:27Z

Scipediacontent moved page Draft Content 251841105 to Morais et al 2020a

Scipediacontent: Created page with " == Abstract == The introduction of electric vehicles (EVs) will have an important impact on global power systems, in particular on distribution networks. Several approaches..."

2021-02-12T13:40:24Z

Created page with " == Abstract == The introduction of electric vehicles (EVs) will have an important impact on global power systems, in particular on distribution networks. Several approaches..."

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== Abstract ==

The introduction of electric vehicles (EVs) will have an important impact on global power systems, in particular on distribution networks. Several approaches can be used to schedule the charge and discharge of EVs in coordination with the other distributed energy resources connected on the network operated by the distribution system operator (DSO). The aggregators, as virtual power plants (VPPs), can help the system operator in the management of these distributed resources taking into account the network characteristics. In the present work, an innovative hybrid methodology using deterministic and the elitist nondominated sorting genetic algorithm (NSGA-II) for the EV scheduling problem is proposed. The main goal is to test this method with two conflicting functions (cost and greenhouse gas (GHG) emissions minimization) and performing a comparison with a deterministic approach. The proposed method shows clear advantages in relation to the deterministic method, namely concerning the execution time (takes only 2% of the time) without impacting substantially the obtained results in both objectives (less than 5%).

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_251841105-beopen386-1485-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [https://orbit.dtu.dk/en/publications/4ddcab02-6c8e-4ba9-8bf7-9eb11e46fd56 https://orbit.dtu.dk/en/publications/4ddcab02-6c8e-4ba9-8bf7-9eb11e46fd56],
: [https://doi.org/10.3390/app10227978 https://doi.org/10.3390/app10227978],
: [https://backend.orbit.dtu.dk/ws/files/234102909/applsci_10_07978_v2.pdf https://backend.orbit.dtu.dk/ws/files/234102909/applsci_10_07978_v2.pdf]

* [https://www.mdpi.com/2076-3417/10/22/7978 https://www.mdpi.com/2076-3417/10/22/7978],
: [https://doaj.org/toc/2076-3417 https://doaj.org/toc/2076-3417]

* [https://www.mdpi.com/2076-3417/10/22/7978/pdf https://www.mdpi.com/2076-3417/10/22/7978/pdf],
: [http://dx.doi.org/10.3390/app10227978 http://dx.doi.org/10.3390/app10227978] under the license https://creativecommons.org/licenses/by/4.0/

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Morais et al 2020a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 251841105 to Morais et al 2020a

Scipediacontent: Created page with " == Abstract == The introduction of electric vehicles (EVs) will have an important impact on global power systems, in particular on distribution networks. Several approaches..."