Abstract
AbstractAs the green and environmentally friendly power supply unit, the photovoltaic (PV) have been integrated into the distribution network in high proportion, which benefits realizing the aim of “carbon emission peak” and “carbon neutrality”. The virtual power plant (VPP) which is effective in PV consumption has been developed rapidly, meanwhile the uncertainty of PV power supply and market price has brought huge challenge for VPP participating in electric power market. In this paper, a hierarchically coordinated optimal schedule method for VPP and distribution network is proposed to maximize the revenue under multiple uncertainties. The two layer structure which optimizes the VPP control and distribution network electricity sales coordinately is constructed, based on which the optimal schedule model is established. As for the uncertainty of PV active and electricity price, the stochastic programming is employed and the Cartesian product is utilized to generate the typical scenarios. Finally, the numerical simulation is conducted on the IEEE 33 bus test system to verify the effectiveness of the proposed method. KeywordVirtual Power PlantDistributed generationUncertaintyStochastic programming
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