Urban private electric vehicle schedulable potential space-time distribution quantification method based on trajectory data
The invention provides an urban private electric vehicle schedulable potential space-time distribution quantification method based on trajectory data, which comprises the following steps: firstly, dividing urban functional areas based on POI (Point of Interest) distribution and a regular hexagon gri...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention provides an urban private electric vehicle schedulable potential space-time distribution quantification method based on trajectory data, which comprises the following steps: firstly, dividing urban functional areas based on POI (Point of Interest) distribution and a regular hexagon grid division method, so as to accurately reflect the actual function condition of each urban area; then all-day space-time state distribution of the private electric vehicle cluster is obtained based on Monte Carlo simulation; the time translation characteristic of the charging load of the electric vehicle is considered, and the all-day up-regulation potential and down-regulation potential of the private electric vehicle in different urban functional areas are quantitatively evaluated; quantitative reference and support can be provided for a power dispatching department to formulate a vehicle network collaborative interaction strategy.
本发明提出一种基于轨迹数据的城市私家电动汽车可调度潜力时空分布量化方法,首先基于POI兴趣点分布和正六边形网格划分方法对城市功能区进行划分,可以准确反映城市各区域的 |
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