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Title: | Performance Assessment of Electric Vehicle Charging in a Charging Station Considering Charging Time and Price |
Authors: | ULLAH, MOHAMMAD FAHAD |
Keywords: | Climate Change Greenhouse Gas (GHG),Net Zero & COβ Emissions Electric Vehicle Charging Station (EVCS) Fossil Fuel Exploitation Transportation Sector Time-based Pricing |
Issue Date: | 28-Aug-2024 |
Publisher: | University of Agder, Norway |
Series/Report no.: | ;TCD-74 |
Abstract: | Climate change is a buzz word in recent times. The whole world is suffering from it, temperature rise, sea level increase and many more are the consequences of it. One of the main reasons of it is the exploitation of fossil fuel. By burning fossil fuel, it emits different types of detrimental gases like πΆπ2,πΆπ»4 etc in combination these are called Green House Gas (GHG). But 17% of this GHG & 20% of πΆπ2 is produced from transportation sector. To mitigate this the whole world is emphasizing at electrification of the transportation sector. And EV can be a proper solution for it. But there are some obstacles regarding to its purchase and its convenience. As the price of the electric vehicle is still high than fuel-based vehicle, time consumption of an electric vehicle for charging is numerous, inadequate amount of charging station infrastructure and another important issue is range anxiety of the EV drivers. As of now there are 16.5 million EVβs are operating in the world and the IEA estimates that 300 million EVs will be in use by 2030, in accordance with the scenario of net zero emissions by 2050.To ensure uninterrupted service to this huge fleet of EV a lot of planning and implementation is needed. In this paper we proposed time-based price and charging-rate varying plan regarding for EVCS. which consider the effect on grid with the addition of huge EV fleet and EVCS financial profit. And we compared it with the conventional Charging system where charging price is volatile but charging time is fixed and constant charging system where both price and charging time are constant. We prepared a probabilistic conditional statement based optimizing algorithm for three of the system. And we considered 24hr scenario for all the systems. Results indicate that nothing controls consumer choices in the constant method, whereas only pricing may do so in the conventional way. This can result in a sudden increase in load at the charging station. However, with our approach, price, charging rate, and a combination of both helped spread out customers throughout various time periods while keeping the system in balance. Additionally, both traditional and constant systems have experienced consumer losses, which resulted in a financial loss for the charging station |
Description: | A Master of Engineering Thesis from the Institute of Energy Technology. |
URI: | http://103.99.128.19:8080/xmlui/handle/123456789/513 |
Appears in Collections: | IET Thesis |
Files in This Item:
File | Description | Size | Format | |
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Fahad Master's Thesis UIA.pdf | A Master of Engineering Thesis from the Institute of Energy Technology. | 2.47 MB | Adobe PDF | View/Open |
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