Abstract: In the background of equipment condition-based maintenance, contradictions are easily introduced between transmission maintenance scheduling and unit commitment, especially with a high level of uncertainty due to the wind power integration. To meet this challenge, this paper modeled the uncertainty of nodal demands and wind power generations through the interval uncertainty set, and then proposed a robust optimization decision model to solve the coordination of transmission maintenance scheduling with unit commitment in the presence of interval uncertainty. According to the proposed model, a solution framework based on Benders decomposition and coordination strategy was proposed, in which the master problem applied the Lagrangian relaxation technique to obtain optimal hourly results for transmission maintenance scheduling and unit commitment in several iterations by adding the Benders cuts constructed on the basis of the feasible or optimal conditions of the power flow sub-problems. Furthermore, the proposed approach introduced additional constraints that were associated with the minimum operating cost of single-bus economic dispatch varying with transmission maintenance and unit commitment schedule into the master problem to decrease the gap between the master problem and sub-problems for accelerating the convergence of the optimal results, and also used the principle of duality and the characteristic of interval uncertainty set to covert the intractable max-min models of the feasible and optimal power flow sub-problems into tractable mix integer linear programming models, in which pattern recognition algorithm was applied to improve efficiency. Case studies with the six-bus system and the IEEE 118-bus test system were used to exhibit the effectiveness of the proposed scheduling approach.