With increasing renewable energy resources integrated

the problem of voltage fluctuation and network losses is brought in the grid.A novel voltage/var optimization for renewable power plants is proposed in this paper.The uncertainties of wind turbines and PV power stations are taken into account in the proposed strategy

and the renewable power plant and the connected substation are treated as an electric island to be optimized.The beta function is used to fit the probability density distribution of the PV and wind turbine power prediction firstly

and the bus voltage and substation loads are predicted by the ARMA.Then the LHS is used to generate scenarios for the bus volt-age

plant output and substation loads

and the typical scenario sets could be acquired through the K-means cluster.Thus the optimization model is developed for the voltage deviation and the net loss in the predicted window

the model could be solved by second-order cone programming.Finally

the effectiveness and feasibility of the proposed strategy are verified by the results of the case.