商场电动汽车充电桩功率配置优化数据
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本数据通过分析商场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、平峰时段总充电量等数据。时段划分为：早高峰（7:00-9:00）、午高峰（11:00-14:00）、晚高峰（17:00-20:00）、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（3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（3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（10小时） 计算功率匹配度： 功率匹配度=（早高峰需求指数×1.2+午高峰需求指数×1.0+晚高峰需求指数×1.5+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＞1.8：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+20%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+25%超频；低谷时段：慢充桩降功40%；平峰时段：维持标准功率 1.3≤匹配度≤1.8：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90%功率；午高峰时段：快充桩保持85%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＜1.3：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80%功率；午高峰时段：快充桩保持75%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%"
This dataset provides decision support for charging infrastructure optimization by analyzing charging demand characteristics across different time periods in shopping malls. Its main applications include: guiding operators to dynamically adjust charging pile power configurations based on calculated power matching degrees for different time periods; identifying high-load stations for priority expansion and underutilized areas for equipment optimization; rationally allocating power resources to improve overall operational efficiency. Additionally, it can generate time-period analysis reports of charging facilities for regulatory authorities, facilitating precise allocation and efficient utilization of charging resources. 1. Data Collection and Processing Management data from the enterprise's self-owned charging pile equipment is collected, including charging station ID, city name, deployment area, charging pile configuration, statistical date, total charging volume during morning peak, midday peak, evening peak, trough period and off-peak period. The time periods are defined as: morning peak (7:00-9:00), midday peak (11:00-14:00), evening peak (17:00-20:00), trough period (0:00-6:00) and off-peak period (remaining time). Data cleaning is conducted to eliminate abnormal and invalid records including charging sessions shorter than 5 minutes. 2. Core Calculations Calculate demand indices: 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 (3 hours) Evening peak demand index = (Total evening peak charging volume × 1.2 [evening peak weight]) / Evening peak duration (3 hours) Trough period demand index = (Total trough period charging volume × 0.2 [trough period weight]) / Trough period duration (6 hours) Off-peak period demand index = (Total off-peak charging volume × 0.4 [off-peak weight]) / Off-peak duration (10 hours) Calculate power matching degree: Power matching degree = (1.2×Morning peak demand index + 1.0×Midday peak demand index + 1.5×Evening peak demand index + Trough period demand index + Off-peak period demand index) / (Total fast charging pile power + Total slow charging pile power) 3. Power Matching Degree Classification and Charging Pile Power Configuration Optimization Strategies Case 1: Power matching degree > 1.8 → Classified as "Insufficient Power". Optimization strategies: - Morning peak period: Fast charging piles locked at 100% rated power, slow charging piles operated at 20% overclocked power - Midday peak period: Fast charging piles maintained at 100% rated power, slow charging piles operated at 15% overclocked power - Evening peak period: Fast charging piles locked at 100% rated power, slow charging piles operated at 25% overclocked power - Trough period: Slow charging piles reduced by 40% of rated power - Off-peak period: Maintain standard rated power Case 2: 1.3 ≤ Power matching degree ≤ 1.8 → Classified as "Basically Reasonable Configuration". Optimization strategies: - Morning peak period: Fast charging piles maintained at 90% rated power - Midday peak period: Fast charging piles maintained at 85% rated power - Evening peak period: Fast charging piles maintained at 95% rated power - Trough period: Slow charging piles reduced by 25% of rated power - Off-peak period: Maintain standard rated power Case 3: Power matching degree < 1.3 → Classified as "Excessive Power". Optimization strategies: - Morning peak period: Fast charging piles maintained at 80% rated power - Midday peak period: Fast charging piles maintained at 75% rated power - Evening peak period: Fast charging piles maintained at 85% rated power - Trough period: All charging piles reduced by 50% of rated power - Off-peak period: All charging piles reduced by 35% of rated power
