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分析节点边际电价与电动汽车接入水平和电动汽车负荷波动之间的关系。建立了含电动汽车负荷场景的系统节点边际电价市场出清模型,电动汽车负荷采用结合ARIMA模型的场景生成技术和基于概率距离的场景简化技术进行仿真,以接入电动汽车负荷场景的RTS24节点系统为算例,求解电动汽车负荷接入后对边际电价的影响。电动汽车负荷接入后,随着电动汽车场景的变化,边际电价也呈现了相应一致的变化趋势;随着电动汽车负荷量的增加,边际电价的波动性增大。含电动汽车负荷场景的边际电价市场出清模型,为系统接入电动汽车负荷节点边际电价的分析提供了一种分析方法。
Analysis of the relationship between node marginal price and electric vehicle access level and electric vehicle load fluctuation. A model for clearing the marginal price of system nodes with electric vehicle load scenario is established. The electric vehicle load is modeled using the scene generation technology combined with ARIMA model and the scene reduction technology based on probability distance to access the RTS24 node system of electric vehicle load scenario As an example to solve the impact of marginal electricity price after electric vehicle load is connected. After the load of electric vehicles is connected, the marginal price also shows a corresponding trend of change with the change of electric vehicle scene. With the increase of electric vehicle load, the volatility of marginal price increases. The marginal electricity price market clearing model with electric vehicle load scenario provides an analysis method for the analysis of the marginal electricity price of the load nodes of the electric vehicle access system.