西香高速负荷需求数据

高速公路智慧化水平和通行能力的提升导致其用能负荷需求不断提高。本数据集依托西香高速公路所实际运营场景产生，主要面向车辆出行行为模拟、西香高速公路中各站点负荷建模、能耗分析等研究。本数据集详细记录了西香高速公路各个供电区段的负荷需求数据（35kV磨盘山站、35kV玛璜铺站、35kV吐故站、35kV牦牛山站以及35kV长柏站）、高速公路服务区负荷需求数据（海南服务区、西昌服务区、平川服务区、盐源服务区、棉桠服务区）以及各个供电区域内隧道总负荷需求数据情况，同时同步记录了天气状况及主要气象影响因子。数据类型为16条，覆盖5个服务区与5个供电区段；时间跨度为连续的90天。

The continuous enhancement of expressway intelligence and traffic capacity has led to a rising demand for energy load. This dataset is constructed based on the actual operational scenarios of the Xixiang Expressway, and is primarily intended for research on vehicle travel behavior simulation, load modeling of various stations along the Xixiang Expressway, energy consumption analysis, and other related fields. This dataset thoroughly documents the load demand data of each power supply section of the Xixiang Expressway (35kV Moshanpan Substation, 35kV Mahuangpu Substation, 35kV Tugu Substation, 35kV Maoniu Mountain Substation, and 35kV Changbai Substation), the load demand data of expressway service areas (Hainan Service Area, Xichang Service Area, Pingchuan Service Area, Yanyuan Service Area, Mianya Service Area), and the total load demand data of tunnels within each power supply area. Additionally, it synchronously records weather conditions and major meteorological influencing factors. The dataset consists of 16 data categories, covering 5 service areas and 5 power supply sections, with a time span of 90 consecutive days.

搜集汇总

背景与挑战

背景概述

该数据集记录了西香高速公路各个供电区段和服务区的负荷需求数据，包括5个服务区和5个供电区段，时间跨度为连续的90天，数据格式为xlsx、pdf和docx。数据集主要用于车辆出行行为模拟、负荷建模和能耗分析等研究。