An error-adaptive real-time compression method for distribution network synchrophasor measurement data

Abstract

An error-adaptive method for real-time compression of distribution network synchrophasor measurement data, comprising: setting measurement data real-time compression parameters; obtaining measurement data points and corresponding time scales at the current moment, initializing data sending points and Corresponding time scale; obtain the measurement data point and corresponding time scale at the current moment, initialize the temporary data point stack and the corresponding time scale stack; obtain the measurement data point at the current moment and the corresponding time scale, initialize The previous data point of the current measurement data point and the corresponding time scale; obtain the current measurement data point and the corresponding time scale, and perform filtering revolving door trend compression; perform linear interpolation reconstruction on the compressed data Process, calculate compression ratio and reconstruction error; execute error demand judgment; calculate error ratio, dynamic amplitude modulation function, calculate filter limit and compression limit, and constrain the upper and lower limits of filter limit and compression limit. The invention achieves better compression performance while ensuring data accuracy.

Description

technical field [0001] The invention relates to a method for compressing synchronized phasor measurement data used in power systems. In particular, it relates to an error-adaptive method for real-time compression of distribution network synchronized phasor measurement data. Background technique [0002] With the continuous development and improvement of phasor measurement technology, filtering technology and global positioning system, the synchronized phasor measurement unit (Phasor Measurement Unit, PMU) in the power system wide-area measurement system has been obtained in key nodes of the transmission network. It plays an important role in the operation monitoring, protection and control of the power system. [0003] In recent years, with the continuous access of distributed power and renewable energy, the dynamic response and unsightly problems of the distribution network have become increasingly prominent. In order to improve the safe operation level of distribution ne...

AI Technical Summary

Problems solved by technology

However, the high sampling frequency of the PMU will generate massive measurement data. If these massive data are uploaded from the communication network to the power grid control center in real time, the communication network will inevitably bear heavy burdens of information transmission and processing. Excessive delay may threaten the safe and stable operation of the power grid. Therefore, effective compression processing of PMU measurement data has important scientific and engineering value

[0004] Existing data compression methods, such as data compression technology based on wavelet analysis and non-equal interval data compression technology, are designed for storing historical data, and are not suitable for compressing real-time measurement data

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