工业区电动汽车充电桩功率配置优化数据
收藏资源简介：
本数据通过分析工业区不同时段的充电需求特征，为充电基础设施优化提供决策支持。主要应用于：指导运营商根据不同时段的功率匹配度计算结果，动态调整充电桩功率配置；识别高负荷站点优先扩容，发现闲置设备可优化区域；合理分配电力资源，提升整体运营效率。同时可为管理部门提供充电设施使用时段分析报告，助力实现充电资源的精准配置与高效利用。 "1.数据采集与处理 采集企业自有充电桩设备管理数据，包括充电站编号、城市名称、部署区域、充电桩配置情况、统计日期、早高峰总充电量、午高峰总充电量、晚高峰总充电量、低谷时段总充电量等数据。时段划分为：早高峰（7:00-9:00）、午高峰（12:00-14:00）、晚高峰（17:00-19:00）、低谷（0:00-6:00）、平峰（其余时段），通过数据清洗剔除＜5分钟充电记录等其他异常值与无效记录。 2.核心计算 计算需求指数： 早高峰需求指数=早高峰总充电量/早高峰时长（2小时） 午高峰需求指数=午高峰总充电量×0.8（午高峰权重）/午高峰时长（2小时） 晚高峰需求指数=晚高峰总充电量×1.2（晚高峰权重）/晚高峰时长（2小时） 低谷时段需求指数=低谷时段总充电量×0.2（低谷时段权重）/低谷时段时长（6小时） 平峰时段需求指数=平峰总充电量×0.4（平峰时段权重）/平峰时段时长（12小时） 计算功率匹配度： 功率匹配度=（早高峰需求指数×1.5+午高峰需求指数×1.0+晚高峰需求指数×1.3+低谷需求指数+平峰需求指数）/（快充桩总功率+慢充桩总功率） 3.功率匹配度情况分类及充电桩功率配置优化策略 功率匹配度＞1.6：功率匹配度情况分类为""功率不足""，功率配置优化策略：早高峰时段：快充桩锁定100%功率，慢充桩+25%超频；午高峰时段：快充桩保持100%，慢充桩+15%超频；晚高峰时段：快充桩锁定100%功率，慢充桩+20%超频；低谷时段：慢充桩降功40%；平峰时段：维持标准功率 1.1≤匹配度≤1.6：功率匹配度情况分类为""配置基本合理""，功率配置优化策略：早高峰时段：快充桩保持95%功率；午高峰时段：快充桩保持90%功率；晚高峰时段：快充桩保持95%功率；低谷时段：慢充桩降功25%；平峰时段：维持标准功率 匹配度＜1.1：功率匹配度情况分类为""功率过剩""，功率配置优化策略：早高峰时段：快充桩保持85%功率；午高峰时段：快充桩保持80%功率；晚高峰时段：快充桩保持85%功率；低谷时段：全桩降功50%；平峰时段：全桩降功35%"
Dataset Overview: This dataset analyzes the charging demand characteristics of industrial zones across different time periods to provide decision support for the optimization of charging infrastructure. Its main applications include: guiding operators to dynamically adjust charging pile power configurations based on the calculated power matching degree results for different time periods; identifying high-load stations for priority expansion and discovering areas where idle equipment can be optimized; rationally allocating power resources to improve overall operational efficiency. Additionally, it can provide time-based usage analysis reports of charging facilities for management departments, helping to achieve precise configuration and efficient utilization of charging resources. 1. Data Collection and Processing Collect the management data of the enterprise's own charging pile equipment, including charging station number, city name, deployment area, charging pile configuration, statistical date, total charging volume during morning peak, midday peak, evening peak, off-peak period, etc. The time periods are divided as follows: morning peak (7:00-9:00), midday peak (12:00-14:00), evening peak (17:00-19:00), off-peak (0:00-6:00), and flat peak (remaining time periods). Perform data cleaning to remove outliers and invalid records such as charging records with duration shorter than 5 minutes. 2. Core Calculations Calculate the demand index: Morning peak demand index = Total morning peak charging volume / Morning peak duration (2 hours) Midday peak demand index = (Total midday peak charging volume × 0.8 (midday peak weight)) / Midday peak duration (2 hours) Evening peak demand index = (Total evening peak charging volume × 1.2 (evening peak weight)) / Evening peak duration (2 hours) Off-peak period demand index = (Total off-peak charging volume × 0.2 (off-peak weight)) / Off-peak duration (6 hours) Flat peak period demand index = (Total flat peak charging volume × 0.4 (flat peak weight)) / Flat peak duration (12 hours) Calculate power matching degree: Power matching degree = (1.5 × Morning peak demand index + 1.0 × Midday peak demand index + 1.3 × Evening peak demand index + Off-peak demand index + Flat peak demand index) / (Total fast charging pile power + Total slow charging pile power) 3. Power Matching Degree Classification and Charging Pile Power Configuration Optimization Strategies - When power matching degree > 1.6: Classified as "Insufficient Power". Optimization strategies: During morning peak: Lock fast charging piles at 100% power, slow charging piles +25% overclocking; During midday peak: Fast charging piles maintain 100% power, slow charging piles +15% overclocking; During evening peak: Lock fast charging piles at 100% power, slow charging piles +20% overclocking; During off-peak period: Slow charging piles reduce power by 40%; During flat peak period: Maintain standard power - When 1.1 ≤ matching degree ≤ 1.6: Classified as "Basically Reasonable Configuration". Optimization strategies: During morning peak: Fast charging piles maintain 95% power; During midday peak: Fast charging piles maintain 90% power; During evening peak: Fast charging piles maintain 95% power; During off-peak period: Slow charging piles reduce power by 25%; During flat peak period: Maintain standard power - When matching degree < 1.1: Classified as "Excessive Power". Optimization strategies: During morning peak: Fast charging piles maintain 85% power; During midday peak: Fast charging piles maintain 80% power; During evening peak: Fast charging piles maintain 85% power; During off-peak period: All charging piles reduce power by 50%; During flat peak period: All charging piles reduce power by 35%
