This paper presents coordinated generation and transmission expansion planning (G&TEP) considering environmental pollutions and reliability in the presence of wind‐generating units and Flexible Alternating Current Transmission System (FACTS) devices. The proposed problem is expressed as a constrained optimization programming that aims at maximizing profit of generation and transmission owners as an objective function. The constraints of the problem include security constraints of alternating current (AC) power flow, wind unit operation, FACTS device operation, and reliability equations. Moreover, the produced power by wind turbines is modeled by probability function, and stochastic programming is adopted to cope with such uncertainty. The planning also calculates the expected energy not supplied (EENS) as a part of the objective function (ie, planning cost). The problem is expressed by means of mixed‐integer nonlinear programming (MINLP) and then linearized as a mixed‐integer linear programming (MILP) to confirm the optimal solution. The linear model is implemented in the Generalized Algebraic Modeling System (GAMS) software. Simulation results are carried out on a large‐scale electrical network, emphasizing the capability and efficiency of the introduced planning to expand the network under uncertainty. Also, the impacts of pollution, FACTS devices, and reliability on planning are demonstrated by numerous analyses and discussions, and it is confirmed that considering such items improves planning.