Distributed robust optimal scheduling of multi-energy complementary based on Wasserstein distance

Under the background of the energy revolution, the multi-energy complementary model has greatly increased the power grid revenue. Considering the access of uncertain wind power, the optimal dispatching method of traditional coupled networks mainly solves low-quality stochastic programming and over-conservative planning. robust optimization based. In this paper, for the electric-gas integrated energy coupling system under the access of uncertain renewable energy sources, an uncertain fuzzy set of wind power is constructed based on the Wasserstein distance, and the incremental piecewise linear method is used to deal with the gas flow, and an electric-gas coupling is proposed. The two-stage distribution robust optimization scheduling model of the network is solved to obtain the scheduling scheme with the lowest cost under the worst distribution obeying the fuzzy set. Finally, the IEEE 6Bus-6Node joint system is used as an example to verify the method, and the method is compared with the traditional random and robust optimization, which shows that the method can be obtained.