For the virtual power plants containing energy storage power stations and photovoltaic and wind power, the output of PV and\nwind power is uncertain and virtual power plants must consider this uncertainty when they participate in the auction in the\nelectricity market. In this context, this paper studies the bidding strategy of the virtual power plant with photovoltaic and wind\npower.Assuming that the upper and lower limits of the combined output of photovoltaic and wind power are stochastically variable,\nthefluctuation rangeof theday-ahead energymarket and capacity price is stochastically variable. If the capacityof the storage station\nis large enough to stabilize the fluctuation of the output of the wind and photovoltaic power, virtual power plants can participate\nin the electricity market bidding. This paper constructs a robust optimization model of virtual power plant bidding strategy in the\nelectricity market, which considers the cost of charge and discharge of energy storage power station and transmission congestion.\nThe model proposed in this paper is solved by CPLEX; the example results show that the model is reasonable and the method is\nvalid.
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