| With the increasing of wind farm and its installations, the randomness and variability of wind power is pay more attention. There is a strongly demand in comprehensive understanding wind power fluctuations and analyzing their impact to the electric power system. To research the impact of the integration of wind farm, this article builds three models.The first model is Wind Power Fluctuation Analysis Model, which is represented by the Wind power forecast error.The second model is Dynamic Economic Dispatch Model for wind power integrated power systems. The Capacity of AGC, Spinning reserve, peaking will be changed to adapt to the integration of wind power. Considering these factors and other Constraints, the second model is build.The third model is Generating Cost Changing Model to the variability of wind power. Multi-time wind power variability is combinated to a Multidimensional Random Vector. Each generating cost caused by wind power variability vector should be calculated and the result will be stored as the initial distribution.The Optimization algorithm used in these models is parameter-improved swarm particle optimization. The initial distribution got from the third model will be refreshed and handled by the Fitting Toolbox of Matlab. After these steps, a Probability Density Function(PDF) can be got and assess the impact of wind power integrated in the electric power system. An example is used and shows the feasibility of the method proposed in this article. |