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The anticipation of high penetration of electric vehicles (EV) and renewable energy sources into future power grid brings up many technological problems that need to be addressed. This paper deals with the economic dispatch problem (EDP) for distribution systems with wind power and mixed-mode EVs. The developed stochastic models of different interactive modes between EVs and power systems are incorporated into EDP studies. A continuous action learning automata (CALA) was applied and verified in a modified IEEE 30 bus system which includes two wind farms, two battery exchange stations for EVs and distributed EVs penetration. The simulation results indicated the interaction between mixed-mode EVs and power systems can significantly reduce the gap between demand and power generation in different periods of time with optimal dispatch schedule.