In this paper, a new type of wind turbine that is called INVELOX has been used. INVELOX has many
advantages such as six times more power generation than previous types, work at low speed, inconsiderable
maintenance and investment costs, and reduce the environmental effects of previous wind
turbines. Moreover, other renewable and nonrenewable generators are used in the energy management
and scheduling of the microgrid. The test case is a microgrid with selling and buying energy capability in
which the cost and pollution are considered as the objective functions. In the following, Uncertainties of
wind speed, solar radiation and electrical-thermal loads are investigated and a multi-objective stochastic
mixed integer linear programming is solved in the first scenario. Then, in the second scenario, the effects
of fuel cost uncertainty on generation units and objective functions have been studied. The Epsilon
constraints method and fuzzy satisfying are utilized to solve the problem and choose the best solution,
respectively. By using of INVELOX turbines, total cost and pollution of the microgrid in both deterministic
and stochastic planning are reduced from 192.68 $ to 97.23 $ and 249.28 $ to 126.38 $, as well 3334.76 Kg
to 3302.7 and 3925.63 to 3910.2 Kg respectively.