Abstract
Data from Phasor Measurement Units (PMUs) inform powerful diagnostic tools that can help avert catastrophic failures in the power grid. Because of this, PMU measurement errors are particularly problematic, and it is critical to understand their impact. However, there is limited understanding of how much the PMU measurement errors affect the performance of various synchrophasor-based applications, and thus the ability of these applications to fulfill the users' requirements effectively is also unclear. This paper examines internal and external factors contributing to PMU phase angle and frequency measurement errors. A generic method is proposed to evaluate the impact of measurement errors on application performance. The impact of measurement errors on several synchrophasor-based Wide Area Monitoring System (WAMS) applications are analyzed as examples. These applications include power system disturbance location, oscillation detection, islanding detection, and dynamic line rating. The analysis demonstrated that the proposed method can be used to quantify the measurement error impact and analyze the performance degradation of these applications due to the measurement error. It also reveals that the impact of measurement error depends on the type, algorithm, and parameters of applications.
Highlights
Wide Area Monitoring System (WAMS) improves the situation awareness of power system by providing system states in fast and dynamic operation conditions, as well as unforeseen situations in a wide range [1,2,3,4,5,6,7,8,9]
Synchrophasors estimated by phasor measurement units (PMUs) are the major data used by WAMS applications
This paper focuses on quantifying the impact of measurement errors and gives the results such as how much error or failure are caused by a given measurement error; what is the worst case for a specific application with measurement error; to achieve a specific performance, how accuracy the measurement should be
Summary
Wide Area Monitoring System (WAMS) improves the situation awareness of power system by providing system states in fast and dynamic operation conditions, as well as unforeseen situations in a wide range [1,2,3,4,5,6,7,8,9]. A systematic method is proposed to evaluate and quantify the impact of errors on synchrophasor-based application. With this method, the impact of different error. Four real applications are evaluated as the specific case studies to demonstrate how the proposed method is used to quantify the error impact. (2) Based on this method, the impact of measurement errors on four real synchrophasor-based applications are analyzed for the first time, and the quantified impact are presented It answers the questions such as in how much percentage the error impact is tolerable, what is the worst case, and how the error of output distributes.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
