Optimized Charge Scheduling of Plug-In Electric Vehicles using Modified Placement Algorithm
| Autor: | D. Devaraj, Mohammed S Sheik, Ahamed T.P. Imthias |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
021103 operations research
business.product_category Computer science 020209 energy 0211 other engineering and technologies 02 engineering and technology computer.software_genre Energy storage Scheduling (computing) Charging station Power rating Hardware_GENERAL Electric vehicle Time of use pricing 0202 electrical engineering electronic engineering information engineering Plug-in MATLAB business computer Algorithm computer.programming_language |
| Zdroj: | 2019 International Conference on Computer Communication and Informatics (ICCCI). |
| DOI: | 10.1109/iccci.2019.8821960 |
| Popis: | Electric Vehicles (EV) are found to be promising alternatives for IC engine vehicles as it significantly reduces the fossil fuel usage and in turn, the environmental issues such as CO 2 emission, global warming caused by burning the fuel. Energy Storage System (ESS) is the heart of the EV and the batteries need to be charged in a regular interval or upon requirement for the operation of vehicle. EVs are connected to the charging station for charging and the charging is generally scheduled based on the given conditions for optimized charging. The scheduling algorithm creates a charging profile for the EVs to charge the batteries in such a way to meet the objectives of scheduling. This paper presents the electric vehicle charge scheduling using Modified Placement algorithm. The objective of the proposed algorithm is to minimize the cost of charging. The algorithm is developed in MATLAB. Electric Vehicles with different power rating and rate of charging are selected to study the performance and accuracy of scheduling algorithm. The charge scheduling of selected vehicles are analyzed based on Time of Use Pricing (ToUP) tariff scheme. |
| Databáze: | OpenAIRE |
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