Synchrophasors based wide area protection and phasor estimation: a review

Khan, Muhammad Qasim and Ahmed, Musse Mohamud and Haidar, Ahmed M. A. and Julai, Norhuzaimin and Hasan, Mohammad Kamarul (2018) Synchrophasors based wide area protection and phasor estimation: a review. In: 7th IEEE International Conference on Power and Energy (PECon 2018), 3-4 Dec 2018, Kuala Lumpur, Malaysia .

Abstract

Phasor Measurement Units (PMUs) are normally used in Wide Area Measurement System (WAMS) for vast applications, such as monitoring the transmission system status over bulky areas including the control and protection. Therefore, this paper reviews the power system protection in relation to the synchronized PMUs and the applications of phasor estimation techniques. Furthermore, the paper elaborates the research works on the applications of PMU for diverse features. The structure and types of PMUs are described utilizing the mathematical modeling of simple Discrete Fourier Transform (DFT) with Recursive and Non- Recursive estimation methods. The paper also presents the results of some published studies for two algorithms (Recursive and Non-Recursive). The review has revealed that the Non- Recursive algorithm is more accurate and gives robust estimation results.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 18 Apr 2019 02:06
Last Modified: 24 Jun 2019 03:51
Uncontrolled Keywords: electrical power system (EPS), global positioning system (GPS), PMU, synchrophasors, wide area measurement protection and control system (WAMPACS)
Fields of Research : 09 Engineering > 0906 Electrical and Electronic Engineering > 090607 Power and Energy Systems Engineering (excl. Renewable Power)
Identification Number or DOI: 10.1109/PECON.2018.8684046
URI: http://eprints.usq.edu.au/id/eprint/36298

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