To improve the operation flexibility of power system with integrated wind power

a method of maintenance and operation decision based on scenario analysis and collaborative optimization is proposed. The typical scenario set of wind power output is obtained via K-medoids clustering method

and the target scenario set size is determined according to the typicality evaluation indices. With economy and flexibility as the goal

a maintenance-operation bilevel collaborative optimization model combined with multi-scenario economic dispatch is formulated. To improve the solving efficiency

an improved Benders decomposition method with light tolerance of power flow limit violation is introduced to reduce the dimension of the constraint matrix in the main problem of operation optimization. Lagrangian relaxation technique and multiplier update mechanism help to coordinate the maintenance schedule and operation optimization. The case study shows that the proposed method can effectively optimize the economy and flexibility of maintenance and operation decision.