EV Aggregator Double Layer Discharge Strategy Considering the Difference of Basic Load Fluctuations

The power supply characteristics of electric vehicles (EV) can effectively alleviate the impact of load fluctuations on the power grid, but the difference in base load fluctuations restricts the effect of EVs on the power grid. In this paper, a EV aggregator double-layer discharge strategy is proposed based on the difference model of basic load fluctuations. First, the β-parameter-based variational autoencoder (β-VAE) is used to realize the automatic generation of massive daily base load curves in multiple scenarios. The upper layer is to optimize the discharge strategy of different aggregators for minimizing the total fluctuation of grid voltage. The lower layer is to optimize the EV discharge strategy for minimizing the EV battery value loss. In order to verify the proposed strategy, a simulation was carried out in the IEEE33-node standard network. The results show that the proposed strategy can minimize the total voltage fluctuation and battery value loss while ensuring the EV battery life.