Abstract

At present, large-capacity storage systems can theoretically smooth fluctuations of wind power output, but its economy is a huge bottleneck in practical applications. From the perspective of optimal economic dispatching of wind-storage power system. Conversion cost of spinning reserve capacity of thermal power due to energy storage reduce wind power forecast error and smooth fluctuation of wind power output, published cost of curtailed wind energy storage reduced and discharged cost of thermal power unit’s pollution and environmental management cost was mainly considered, a mathematical model was used to optimize economic dispatching, improved prediction accuracy and smoothed fluctuation of wind power output to satisfy the required standards of the State Grid was set up, a certain regional power grid with wind power in Xinjiang was taken as the example and simulated by employing genetic algorithm(GA). The result show that energy storage capacity is most economical when it accounts for 9.6% of the wind farm installed capacity, and corresponding capacity optimization method is practical, effective and promising in application.

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