Design and research of power system Beidou timing and positioning module based on K-means clustering and gross error processing

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IET Cyber-Physical Systems: Theory and Applications Pub Date : 2023-01-06 DOI:10.1049/cps2.12044
Yawei Xu, Wei Wang, Xiaona Yang, Ke Deng, Zhiyuan He
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Abstract

The clock synchronisation of the power system is to realise the clock synchronisation of the whole network. The clock synchronisation network is composed of the clock synchronisation systems of power grids at all levels. Dispatching agencies, power plants, and substations have their clock synchronisation systems. By using computer technology, communication technology, and network technology, combined with the topological structure of the power grid and geographic information of the geographic information system, automatically process the key index data to ensure that the distribution network project can manage the power consumption and distribution 24 h without interruption. Considering the particularity of power, the accuracy of the receiver is strictly required, and so are the positioning, speed measurement, and time accuracy. Test indicators study a set of accurate and reliable test and evaluation methods. A gross error processing method based on the k-means algorithm is proposed. Experiments show that gross errors can be well identified and eliminated in one-dimensional and multidimensional data. Considering that invalid data may be hidden in the test data, to improve the identification accuracy without affecting the detection of normal gross errors, based on the proposed k-means algorithm, the number of visible satellites is added. Because the magnitude difference between the number of visible satellites and the original three-dimensional positioning error data is relatively large, it is normalised first. The processing data is extended from three-dimensional to four-dimensional. The experimental simulation shows that it can not only identify invalid data but also ensure a good effect of gross error elimination, reduce possible economic losses, bring significant direct and indirect economic benefits, and verify the feasibility and promotional value of the online monitoring platform through practice.

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基于K-means聚类和粗差处理的电力系统北斗授时定位模块的设计与研究
电力系统的时钟同步是为了实现整个网络的时钟同步。时钟同步网络由各级电网的时钟同步系统组成。调度机构、发电厂和变电站都有自己的时钟同步系统。利用计算机技术、通信技术和网络技术,结合电网拓扑结构和地理信息系统的地理信息,自动处理关键指标数据,确保配电网项目能够24小时不间断地管理用电和配电。考虑到功率的特殊性,对接收机的精度要求很高,对定位、测速、时间精度要求也很高。测试指标研究了一套准确可靠的测试和评价方法。提出了一种基于k均值算法的粗误差处理方法。实验表明,在一维和多维数据中,粗误差可以很好地识别和消除。考虑到无效数据可能隐藏在测试数据中,为了在不影响正常粗误差检测的情况下提高识别精度,在所提出的k均值算法的基础上,增加了可见卫星的数量。由于可见卫星数量与原始三维定位误差数据之间的幅度差异较大,因此首先对其进行归一化。处理数据从三维扩展到四维。实验仿真表明,它不仅可以识别无效数据,而且可以保证良好的粗误差消除效果,减少可能的经济损失,带来显著的直接和间接经济效益,并通过实践验证了在线监测平台的可行性和推广价值。
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来源期刊
IET Cyber-Physical Systems: Theory and Applications
IET Cyber-Physical Systems: Theory and Applications Computer Science-Computer Networks and Communications
CiteScore
5.40
自引率
6.70%
发文量
17
审稿时长
19 weeks
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