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电动汽车充电站群电能质量协同监测技术

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为解决现有电能质量监测技术存在的监测范围小、精度低的问题,优化设计电动汽车充电站群电能质量协同监测技术.根据电动汽车充电站群的组成结构,构建充电站群模型,模拟充电过程.针对电能质量指标配置相应的电能质量监测点,协同采集与处理电动汽车充电站群暂态信号,通过对扰动、谐波/间谐、电压偏差、频率偏差等指标的计算,得出电能质量的协同监测结果.通过与现有监测技术的对比,所设计监测技术的监测范围扩大了1306.24m2,且监测误差更低.
Collaborative Monitoring Technology for Power Quality of Electric Vehicle Charging Stations
In order to solve the problems of small monitoring range and low accuracy existing in the existing power quality moni-toring technology,the collaborative monitoring technology of electric vehicle charging station group was optimized and designed.According to the structure of ev charging station cluster,a charging station cluster model was constructed to simulate the charging process.According to the power quality index,the corresponding power quality monitoring points are configured,and the tran-sient signals of ev charging station group are collected and processed jointly.The collaborative monitoring results of power quality are obtained by calculating the disturbance,harmonic/harmonic,voltage deviation,frequency deviation and other indicators.Compared with the existing monitoring technology,the monitoring range of the designed monitoring technology is expanded by 1306.24m2,and the monitoring error is lower.

Electric Vehicle Charging StationElectric Energy of Charging Station GroupPower QualityCollab-orative Monitoring Technology

李宏胜、武光华、柳长发、郭世萍

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国网河北省电力有限公司营销服务中心,河北 石家庄 050000

电动汽车充电站 充电站群电能 电能质量 协同监测技术

国家电网河北省电力公司科技项目

kj2020-085

2024

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子:0.511
ISSN:1001-3997
年,卷(期):2024.400(6)