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作 者:杨广辉 缪希仁[1] 庄胜斌 赵鹏飞 YANG Guanghui;MIAO Xiren;ZHUANG Shengbin;ZHAO Pengfei(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350116,China;State Grid Shaoxing Power Supply Company,Shaoxing 312000,Zhejiang,China)
机构地区:[1]福州大学电气工程与自动化学院,福建福州350116 [2]国网绍兴供电公司,浙江绍兴312000
出 处:《南昌大学学报(工科版)》2024年第1期117-124,共8页Journal of Nanchang University(Engineering & Technology)
基 金:国家自然科学基金资助项目(51677030)。
摘 要:针对新型电力系统低压台区故障准确定位要求,开发了一种基于“边端协同”架构的低压台区短路故障定位技术。提出多层级短路故障定位的台区物联网架构体系,研究采用二阶最小二乘拟合算法的台区各层级物联终端短路故障检测方法;设计基于高速电力线宽带载波通信的故障定位通信协议,面向智能配变终端,提出基于台区拓扑结构的短路故障定位策略,并开展边缘计算及其硬件化技术实现。在此基础上,通过真型低压交流系统短路故障测试实验,验证了“边端协同”物联台区短路故障定位技术的有效性。Aiming at the requirement of accurate fault location in low-voltage substation area of new power system,a low-voltage substation area short circuit fault location technology based on“edge-terminal coordination”architecture was developed.Firstly,the architecture of the internet of things(IoT)in the substation area for multi-level short circuit fault location was proposed;Secondly,a detection method for short circuit fault of IoT terminals at all levels in the station area using the second-order least square fitting algorithm was studied;Thirdly,a fault location communication protocol based on HPLC communication was also designed.For intelligent distribution transformer terminals,a short circuit fault location strategy based on substation topology was proposed,and edge computing and its hardware technology were implemented.On this basis,the validity of the“edge-terminal coordination”IoT platform area short circuit fault location technology was verified through the real low-voltage AC system short circuit fault test experiment.
关 键 词:低压台区 短路故障 边端协同 高速电力宽带载波 故障定位
分 类 号:TM76[电气工程—电力系统及自动化]
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