Power Grid Classification through Electrical Network Frequency and its Multiple Frequency Components

被引：0

作者：

Zaman, Md Arif Uz ^{[1
]}

Chakma, Shoilie ^{[2
]}

机构：

[1] Bangladesh Univ Engn & Technol, Inst Appropriate Technol, Dhaka, Bangladesh

[2] Bangladesh Univ Engn & Technol, Dept Elect & Elect Engn, Dhaka, Bangladesh

来源：

2020 IEEE REGION 10 SYMPOSIUM (TENSYMP) - TECHNOLOGY FOR IMPACTFUL SUSTAINABLE DEVELOPMENT | 2020年

关键词：

Grid detection; Machine Learning; Power Quality;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Monitoring and optimizing the power grids are one of the most important tasks in electrical engineering. In this paper we would present an approach to detect power grid locations using Electrical Network Frequency and multiple frequency components associated with it. It is based on frequency domain method. We have used some different approach to detect the grids. We have build the system using machine learning simulation on Matlab. Performance evaluation in terms of number of correct detection and false alarms reveals the effect of system performance.

引用

页码：513 / 516

页数：4

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