Aimed at the AC/DC hybrid active distribution network(ADN)containing voltage sourced converters(VSCs)

a scenario-based stochastic optimal scheduling model is built. Considering the temporal correlation of the errors changes

a multiple scenarios technique combined with Markov chain is used to imitate the intermittency and volatility of the wind power

photovoltaic power and uncertain load. A large number of scenarios are clustered by fuzzy C-means algorithm to gain representative scenarios. A multi-time-scale coordinated scheduling strategy is proposed and the specific strategies are as follows: In the long-time scale

the outputs of the connecting line and flexible DC devices are optimized with the goal of minimizing the total cost of the power grid

while in the short-time scale

the output of adjustable resources is corrected on the basis of long-time scale results to minimize the difference. The results verify that multiple scenarios technique with the Markov chain can describe the uncertainty of original problem effectively and correct the prediction deviation which increases over time. It is also beneficial to reducing the pressure of short-time scale dispatch. In addition

this paper illustrates that the model is contributed to deal with the uncertain fluctuations and improve the consumptive ability of intermittent resource.