Evaluation of Well-Being Criteria in Presence of Electric Vehicles Consumption Increase and Load Shifting on Different Load Sectors

Abstract

By the development and progress of electrical systems and considering the environmental issues, the use of electric vehicles has increased, which leads to changes in the system load profile as well as the peak load of the distribution network. These changes affect the reliability criteria of the power system. A method to maintain the system’s reliability criteria in an acceptable range while increasing the penetration of this type of loads could be the use of the demand side potential. By changing the rate and duration of different consumption loads, demand side management (DSM) can pave the way for further penetration of the new loads through improving the system reliability criteria and reducing the peak load. In this research, by investigating the behavior of the electric vehicles’ load and applying the potential and flexibility of different segments of the load, effects of further penetration of the electric vehicles, as the consumption load, on the system’ reliability criteria as well as effects of the response of different sectors of the load on further penetration of these loads were investigated. Simulation was performed using the Well-being Model, which divides all the system performance states in to three states of health, marginal, and risk with sequential Monte Carlo method. The simulation was conducted on the RBTS test system using MATLAB software. With regard to the results of the simulation, penetration of the electric vehicles increased the risk probability of the system; however, by applying the load shifting, the adverse effects of the presence of the electric vehicles on reliability were compensated it.