Microgrids are a new concept in electrical systems that can independently supply electricity and heat (CHP) to their residents. These microgrids are capable of integrating renewable energy units with a probabilistic nature, which creates significant challenges for them. This paper addresses the timing of microgrid production, considering the risk of power supply from renewable units in the presence of electric vehicles. The aim of this study is to reduce the risk of power outage using electric vehicles, increase microgrid independence and stability, and intelligently distribute power with minimal environmental and economic costs. To this end, a probabilistic model structure is first introduced, and then the optimization problem on this model is simulated using three optimization algorithms: Gray Wolf Optimization (GWO), Firefly Algorithm (FA), and Particle Swarm Optimization (PSO). Ultimately, microgrid indices such as microgrid independence and stability, Risk level, power distribution index, and optimal environmental and economic costs are calculated. By simulating the proposed problem, in addition to reducing the risk of power outages using electric vehicles, the objectives of the problem are optimized.