Agent based modelling of electric vehicles (EV) in netlogo to mimic real life EV charging scenario at public charging stations
Large scale adoption of EVs undoubtedly raises electricity demand by a large extent. Hence, there is a need for comprehensive planning of charging infrastructure in order to prevent power failures or scenarios where supply exceeds demand. An essential part of this planning involves the prediction of...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/70999 |
| _version_ | 1826124871647625216 |
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| author | Su, Fabian Piao Sen |
| author2 | Abhisek Ukil |
| author_facet | Abhisek Ukil Su, Fabian Piao Sen |
| author_sort | Su, Fabian Piao Sen |
| collection | NTU |
| description | Large scale adoption of EVs undoubtedly raises electricity demand by a large extent. Hence, there is a need for comprehensive planning of charging infrastructure in order to prevent power failures or scenarios where supply exceeds demand. An essential part of this planning involves the prediction of charging demand. Charging demand is affected by several factors such as location of charging stations and pricing. In order to implement the optimum charging infrastructure, it is important to consider all the crucial factors that affect the charging load. Thus, several studies have come up with models to simulate the charging demand. However, some of the models did not include factors that deal with the social characteristics of EV drivers while others did not focus much on the economic elements. This report aims to evaluate these aspects by inculcating them in a simulation model and determining the effects of these factors. The final goal is to be able to optimize the location of the charging stations as that is one of the most fundamental factors that affects the charging load. |
| first_indexed | 2024-10-01T06:27:27Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/70999 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:27:27Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/709992023-07-07T15:59:07Z Agent based modelling of electric vehicles (EV) in netlogo to mimic real life EV charging scenario at public charging stations Su, Fabian Piao Sen Abhisek Ukil School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Large scale adoption of EVs undoubtedly raises electricity demand by a large extent. Hence, there is a need for comprehensive planning of charging infrastructure in order to prevent power failures or scenarios where supply exceeds demand. An essential part of this planning involves the prediction of charging demand. Charging demand is affected by several factors such as location of charging stations and pricing. In order to implement the optimum charging infrastructure, it is important to consider all the crucial factors that affect the charging load. Thus, several studies have come up with models to simulate the charging demand. However, some of the models did not include factors that deal with the social characteristics of EV drivers while others did not focus much on the economic elements. This report aims to evaluate these aspects by inculcating them in a simulation model and determining the effects of these factors. The final goal is to be able to optimize the location of the charging stations as that is one of the most fundamental factors that affects the charging load. Bachelor of Engineering 2017-05-12T07:00:30Z 2017-05-12T07:00:30Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70999 en Nanyang Technological University 61 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Su, Fabian Piao Sen Agent based modelling of electric vehicles (EV) in netlogo to mimic real life EV charging scenario at public charging stations |
| title | Agent based modelling of electric vehicles (EV) in netlogo to mimic real life EV charging scenario at public charging stations |
| title_full | Agent based modelling of electric vehicles (EV) in netlogo to mimic real life EV charging scenario at public charging stations |
| title_fullStr | Agent based modelling of electric vehicles (EV) in netlogo to mimic real life EV charging scenario at public charging stations |
| title_full_unstemmed | Agent based modelling of electric vehicles (EV) in netlogo to mimic real life EV charging scenario at public charging stations |
| title_short | Agent based modelling of electric vehicles (EV) in netlogo to mimic real life EV charging scenario at public charging stations |
| title_sort | agent based modelling of electric vehicles ev in netlogo to mimic real life ev charging scenario at public charging stations |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/70999 |
| work_keys_str_mv | AT sufabianpiaosen agentbasedmodellingofelectricvehiclesevinnetlogotomimicreallifeevchargingscenarioatpublicchargingstations |