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With the increasing levels of wind generator penetration in modern power systems, one of major challenges in the present and coming years is the optimization control, such as optimal power flow including wind farms. The power flow model for a fixed speed wind generator (FSWG) system and a variable speed wind generator (VSWG) system is discussed respectively. The expectation model of wind generators' active power outputs is adopted. Dynamic optimal power flow (DOPF) is a typical complex multi-constrained non-convex non-linear programming problem in wind power integrated system when considering the valve-point effect of conventional generators. Moreover, it is mixed integer when considering the discreteness of FSWG reactive compensation devices. DOPF model is established in this paper, and then a novel shuffled frog leaping algorithm (SFLA) is proposed for solving the established DOPF model. According to the principle of the nearest reactive power compensation, the required reactive power of FSWG doesn't absorb from the system as much as possible, but mainly from its reactive compensation devices. Improved IEEE 30-bus system is used to illustrate the effectiveness of the proposed method compared with those obtained from particle swarm optimization (PSO) algorithm. The test results show that the proposed method is effective and has a certain practicality.