Responding to the privacy and the uncertainty problems of the dynamic economic dispatch of power system with wind farms

a decentralized stochastic optimization method is proposed. The centralized optimization model of dynamic economic dispatch with wind farms is transformed into the stochastic and decentralized ones by the analysis target cascading(ATC)method. Then

each is solved by the approximate dynamic programming(ADP)method dispersedly. The phase information on boundary nodes among the areas is used to coordinate their optimization schemes iteratively. Case studies on a 6-bus and 2-area system

the IEEE multi-area systems as well as an actual power system demonstrate the effectiveness of the proposed method.