A novel stochastic operational framework for Distribution Company (DISCO) in competitive electricity market with high level of wind penetration is presented. This operational framework deal with the problem of scheduling DG units in DISCO‘s territory and determining the amount of power purchased contract for next day of operation since uncertainties of available wind power causes different operational issues. The proposed method is bi-level model. The first level, which is 24 hour before real time operation, determines DG units‘ commitment and amount of grid purchased power. The second level which is one hour ahead real time operation, DISCO tries to minimize the operational cost of supply power. Both level of scheduling relies on forecasted data for wind power, market clearing price and demand. Therefore, in order to improve the quality of operational decisions and improving the robustness of system against wind, price and demand fluctuations, scenario analysis employed to model the uncertainties in prediction. Therefore, novel scenario reduction algorithm based on adaptive shuffled frog leaping algorithm is developed to reduce the amount of scenarios.