Mohammad R Aghamohammadi - with the Departmentof Electrical and Computer Engineering, Shahid Beheshti University, A.C.,Tehran, Iran
Mohammad Fallah - with the Departmentof Electrical and Computer Engineering, Shahid Beheshti University, A.C.,Tehran, Iran
Mojtaba Shivaie - with the Departmentof Electrical and Computer Engineering, Shahid Beheshti University, A.C.,Tehran, Iran

In recent years, decaying fossil fuel resources of quopower plants and their low efficiencyhas led to growinglocalgeneration with lower cost, higher efficiency. Operation ofPlug-in Hybrid Electric Vehicle (PHEV) is one importantoptions in addressing the above challenges. If a significantnumber of the PHEVsplug into the system, operator can operateall of themas small power plants. The PHEVscan have manyapplications in power systems studies including providingancillary services and increasing base load. As a result,scheduling and management of the PHEVshas become aninevitable issue. To achieve this purpose, this paper investigatesthe effectsrandom behavior of the PHEV. In addition, in thispaper, a new random-based approach is presented for PHEVswhich named Monte Carlo Simulation (MCS). The obtainedresults are compared with the Markov approach. Simulationresults illustrated thesufficiency and profitableness of the newlydeveloped framework, when compared with other methods.

Markov Approach, Monte-Carlo Simulation, Plug-inHybrid Electric Vehicle (PHEV), Power Grid, Stochastic Modeling