Linear programming to increase the directly used photovoltaic power for charging several electric vehicles

Author(s):  
Katrin Schulte ◽  
Jens Haubrock
2021 ◽  
Vol 13 (11) ◽  
pp. 6163
Author(s):  
Yongyi Huang ◽  
Atsushi Yona ◽  
Hiroshi Takahashi ◽  
Ashraf Mohamed Hemeida ◽  
Paras Mandal ◽  
...  

Electric vehicle charging station have become an urgent need in many communities around the world, due to the increase of using electric vehicles over conventional vehicles. In addition, establishment of charging stations, and the grid impact of household photovoltaic power generation would reduce the feed-in tariff. These two factors are considered to propose setting up charging stations at convenience stores, which would enable the electric energy to be shared between locations. Charging stations could collect excess photovoltaic energy from homes and market it to electric vehicles. This article examines vehicle travel time, basic household energy demand, and the electricity consumption status of Okinawa city as a whole to model the operation of an electric vehicle charging station for a year. The entire program is optimized using MATLAB mixed integer linear programming (MILP) toolbox. The findings demonstrate that a profit could be achieved under the principle of ensuring the charging station’s stable service. Household photovoltaic power generation and electric vehicles are highly dependent on energy sharing between regions. The convenience store charging station service strategy suggested gives a solution to the future issues.


2021 ◽  
Vol 4 (2) ◽  
pp. 21-27
Author(s):  
Sharyar ul Hassan Hashmi ◽  
Abasin Ulasyar ◽  
Haris Sheh Zad ◽  
Abraiz Khattak ◽  
Kashif Imran

In this paper, energy management system (EMS) is proposed for institution which helps in reducing the operational cost with the help of using different distributed generators (DGs) and electric vehicles. For this purpose, a scenario is created in which university is connected with national grid having self-powered PV plant, electric vehicles and a diesel generator. Impact of various distributed generators and optimally scheduled energy storage system (ESS) are analyzed for the university campus which helps in reducing operational cost of energy by using campus load data. The proposed model consist of different distributed generators and their effects are observed in various scenarios. Mix Integer linear programming (MILP) is used to get optimized result and then it is compared with Ant Colony Optimization and Linear programming (LP) techniques. Economic and environmental benefits are also discussed. Operational cost was measured and compared and found the role of ESS by using MILP in minimizing operational cost from $798.560 to $756.3850.


2013 ◽  
Vol 389 ◽  
pp. 97-101
Author(s):  
Yu Ning Wang ◽  
Hui Ming Zeng ◽  
Bin Xiang Hu

In order to evaluate the economy performance of new energy vehicles, the life-cycle cost theory is applied. A formula of quantitative analysis in combination is adopted to have in-depth study on the life-cycle cost of new energy vehicles. Analysis and argumentation are also conducted in comparison pure-electric vehicles, hybrid electric vehicles and traditional oil-fueled vehicles under the condition of present oil price, the analysis result shows that if despite the battery cost, PEV costs the fewest because of the lowest operation costs and energy costs, the cost of HEV is at a middle level. Therefore, customers and manufacturers may become more interested in PEV than in other solutions. Furthermore, a decision tool by setting up a cost model based on linear programming theory is developed, economic influence factors for the application of new energy vehicles are further discussed through sensitivity analysis.


2019 ◽  
Vol 2 (2) ◽  
pp. 150-159 ◽  
Author(s):  
Jing Zhang ◽  
Chang Liu ◽  
Ruiming Yuan ◽  
Taoyong Li ◽  
Kang Li ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3579 ◽  
Author(s):  
Kameswara Satya Prakash Oruganti ◽  
Chockalingam Aravind Vaithilingam ◽  
Gowthamraj Rajendran ◽  
Ramasamy A

Existing DC fast-charging stations are experiencing power quality issues such as high harmonics in the line current, poor power factor in the input supply, and overloading of distribution transformers, due to the dynamic behavior of charging patterns when it is connected to the power grid. Most of the recent works involve the usage of renewable energy sources to mitigate the issues on the distribution grid. In order to design a mobile plug and play DC fast charging station, solar energy is the best and viable solution to carry out. In this paper, plug and play solar photovoltaic power plant to charge electric vehicles (EVs) is proposed and modelled using MATLAB/Simulink software. The proposed system can act as a mobile power plant. The controller allows the system to charge the battery, whenever there is abundant solar energy. Incoming EVs will be charged directly from the system battery where the charger acts as a rapid charging system. The proposed system can meet the concept of Solar Photovoltaic Rapid Charging Stations (SPRCS), which shows that 80% of charge can be fed to an EV in 10.25 s.


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