Dynamic economic dispatch (DED) is a high-dimensional, non-convex, multi-constrained optimization problem. With the increase of wind power in power systems, DED problem becomes more difficult. In the mathematical model, both the ramping constraint of wind farm output and the constraint of spinning reserve are proposed to deal with the fluctuation and randomness of wind power. In the power system with large-scale wind farm, wind power should be limited according to the maximum reserve capacity. To improve the searching capability of binary differential evolution (BDE) algorithm, sharing fitness and adaptive control parameters are adopted. At the same time, some new strategies for constraints are used, which can make all the particles feasible and the searching efficiency is greatly improved. The method presented proves to be fast and effective by some examples.
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