摘要
在“双碳”目标驱动下,青海西宁市私人充电桩快速增长,截至2025年1月总量已达3542台。文章基于多源大数据构建了“设备台账-负荷监测-用户行为”三维框架,旨在分析其时空分布特征和对电网负荷的冲击。结果表明,湟中区与大通县为充电桩密集区(合计占比51.3%),2023—2024年安装量年均增速超过2800%;受慢充桩主导的夜间充电行为影响,区域电网在18:00—21:45出现负荷叠加,其中7个台区充电负荷占比超60%,存在过载风险。结合负荷叠加模型与风险评估,文章提出布局优化、动态电价与数字化监测等策略,以支持高比例新能源接入下的配电网规划。
Driven by the“Dual Carbon”goals,the number of private charging piles in Xining City,Qinghai Province,has been growing rapidly,reaching a total of 3542 by January 2025.Taking Xining of Qinghai as an example,and based on multi-source big data,this paper establishes a three-dimensional framework encompassing“equipment inventory,load monitoring,and user behavior”to analyze their spatio-temporal distribution characteristics and their impact on the power grid load.The results indicate that Huangzhong District and Datong County are high-density areas for charging piles(collectively accounting for 51.3%),with the annual installation growth rate from 2023 to 2024 exceeding 2800%.Nighttime charging dominated by slow-charging piles leads to load superposition between 18:00 and 21:45.In seven transformer areas,the charging load proportion exceeds 60%,indicating an overload risk.Integrating a load superposition model and risk assessment,this paper proposes strategies such as layout optimization,dynamic electricity pricing,and digitalized monitoring to support distribution network planning under high penetration of renewable energy.
作者
朱晓明
张晓文
郭强
蔡全彪
ZHU Xiaoming;ZHANG Xiaowen;GUO Qiang;CAI Quanbiao(Xining Power Supply Company,State Grid Qinghai Electric Power Company,Xining 810000,China)
基金
国网青海省电力公司科技项目(522801240006)。
关键词
私人充电桩
时空分布
负荷冲击
多源大数据
配电网规划
private charging pile
spatio-temporal distribution
load impact
multi-source big data
distribution network planning
