Stochastic Method for Electric Vehicle Integration Considering Renewability Maximization and Reliability Minimization

Authors

  • Mahmod Gomah Mechanical and Industrial Engineering Department, Bani Waleed University, Bani Walid, Libya
  • Abdussalam Ali Ahmed Mechanical and Industrial Engineering Department, Bani Waleed University, Bani Walid, Libya

Keywords:

EV, V2G, SMCS

Abstract

Electric Vehicles (EV) can act as backup energy sources by storing extra energy from the power grid in their batteries during periods of low demand and resupplying that energy to the grid during periods of high demand. This calls for the vehicles to be linked to the grid which forms the Vehicle-to-Grid (V2G) technology and ready to provide energy as required. The EVs might not be accessible or readily available for this purpose in an emergency event, such as a natural disaster. To estimate the uncertain integration of EV through Stochastic method namely Stochastic Monte Carlo Simulation (SMCS). By achieving the two proposed objectives to gain a reliable and renewable system based on the aforementioned stochastic method. As a result, the reliability and renewability along with the energy comparison result are discussed.

 

 

Author Biographies

Mahmod Gomah, Mechanical and Industrial Engineering Department, Bani Waleed University, Bani Walid, Libya

 

 

Abdussalam Ali Ahmed, Mechanical and Industrial Engineering Department, Bani Waleed University, Bani Walid, Libya

 

 

Dimensions

Published

2023-03-11

How to Cite

Mahmod Gomah, & Abdussalam Ali Ahmed. (2023). Stochastic Method for Electric Vehicle Integration Considering Renewability Maximization and Reliability Minimization. African Journal of Advanced Pure and Applied Sciences (AJAPAS), 2(1), 225–232. Retrieved from https://aaasjournals.com/index.php/ajapas/article/view/373