Online calibration method and device for synchronous phasor measurement unit

Abstract

The invention discloses an online calibration method and device for a synchronous phasor measurement unit. The online calibration method comprises the steps of measuring the synchronous phasor measurement unit under different load conditions to acquire multiple groups of synchronous phasor measurement unit data, and calculating multiple groups of transmission line parameters according to the multiple groups of synchronous phasor measurement unit data; solving a partial derivative of each measurement value according to the multiple groups of synchronous phasor measurement unit data, and generating an impedance partial derivative parameter; acquiring static parameters of a transmission line from an energy management system so as to determine a search space, performing clustering on partial derivatives of the line parameters in the search space, and generating a parameter error together with the multiple groups of transmission line parameters; determining a system error according to the impedance partial derivative parameter and the parameter error, and performing calibration on the synchronous phasor measurement unit according to the system error. According to the invention, an enough accurate parameter error can be generated according to an energy management system mathematical model and the static parameters, and the model based calibration method is enabled to have practical application values.

Description

technical field [0001] The invention relates to the field of electrical circuits, in particular to an online calibration method and device for a synchronized phasor measurement unit. Background technique [0002] The large-scale installation of synchrophasor measurement unit (PMU, Phasor Measurement Unit) in the power system and the rapid development of related applications make it one of the key technologies for the development of smart grid in the future. On the one hand, most PMU-based applications, especially critical real-time online monitoring applications, require very reliable and accurate measurement data; on the other hand, due to various reasons in actual installation and operation, its reliability and accuracy cannot reach expected level. According to previous application experience, in many cases, PMU measurement data will have various data quality problems. [0003] Although the precision of the PMU device itself is very high, the signal channel of its sampli...

AI Technical Summary

Problems solved by technology

However, the assumptions of existing methods are too harsh and often not feasible in practice

Some methods assume that the mathematical model of the transmission line in the Energy Management System (EMS) and its static parameters are very accurate, but due to various dynamic factors in the power system, its mathematical modeling is difficult to be very accurate

Some methods assume that part of the PMU measurement data has no error, but due to the influence of various random and unknown factors in PMU data collection and communication channels, it is difficult to distinguish accurate and inaccurate PMU data in advance

Although mathematical model-based calibration is a very promising approach, it is difficult to implement such methods in practice without removing these stringent assumptions

[0006] There is no effective solution to the problem that the mathematical model and static parameters of the energy management system in the prior art are inaccurate and the model-based calibration method cannot be applied in practice.

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