摘要

By tracking the output curve of renewable energy sources, shifting the operational time of load can reduce the side effects which the fluctuations of large-scale renewable energy have on power system. From the perspective of demand response, this paper proposes a layered method for smoothing the wind power fluctuation. This method establishes the time- of- use electricity price model and the model of the shiftable load with multi- time scales. On this basis, by using economic heuristic rules, this paper establishes optimization models of wind- load and wind- storage. According to the characteristics of the shiftable load in different time scales, this paper presents a layered optimization strategy which gives the target curve and the corresponding solving algorithm in each layer. With the example system, the effectiveness and smoothing effect of the layered optimization scheduling strategy are verified and analyzed.

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