Economic operation of smart grid based on the statistics of renewable energy

Smart grid is a brand new power system that allows the installation of a high percentage of powers from renewable energy sources. In its operation, how to utilize the smoothing effect of renewable energy output plays a vital role in ensuring the power quality. This paper proposes a new operation method for smart grid which assures both the power quality and the economy of the operation. Firstly, we derive a criterion for the frequency maintenance which relates the allowable bound of frequency with that of the prediction error of renewable energy output. Secondly, we show how to employ the statistics of renewable energy to determine the uncertainty bounds. Thirdly, we propose two peak-cut methods to improve the frequency performance when the frequency bound is not assured. Finally, the proposed methods are evaluated via numerical examples.