Non-PMU measure point dynamic process estimation method based on flow equation sensitiveness analysis

Abstract

The invention discloses a sensitiveness matrix of voltage phasor obtained through flow equation, and an estimation method which includes that dynamic actual measurement data and power system data acquisition and monitoring system SCADA data or state estimation data mounted with PMU nodes are adopted to estimate the dynamic process without PMU node in real-time. The method adopts the sensitiveness relationship of voltage variations among nodes derived from flow Jacobian matrix, also adopts the SCADA or initial values of state estimation and the voltage dynamic measurement values mounted with PMU nodes to estimate the dynamic variation process of other voltage phasors without PMU node. The dynamic variation processes of electric parameters such as current, power and frequency in power grid are derived according to circuit principle according to the voltage phasors and network parameters of each node. The estimation method effectively solves the difficult problem of observing the dynamic process of the non-PMU measure point when the power grid PMU is in adequate configuration situation.

Description

technical field [0001] The invention belongs to the technical field of power system wide-area measurement, and in particular relates to a method for estimating the dynamic process of quantity measurement at non-PMU measurement points. Background technique [0002] In order to ensure the safe and stable operation of the power grid, accurate and comprehensive real-time monitoring of the operating status of the power system is required. Traditional information collection mainly comes from a large amount of static and quasi-steady state information provided online by RTU and various plant and station integrated automation devices, as well as a large amount of transient state information provided by fault recording and protection devices after the event. The source of information leads to a data acquisition and monitoring system (Supervisory Control and Data Acquisition, SCADA) sampling interval of 3 to 5 seconds. At the same time, the SCADA system can only monitor the static cha...

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Problems solved by technology

[0003] Recently, some literature has proposed a real-time estimation method for the dynamic process of non-PMU measuring points, but this method does not rely on network parameters and grid state matrix or power flow equation information at all, but uses a "black box" identification method The method is only based on the existing PMU and SCADA measured data, and does not use network parameters and topology information to perform black-box estimation on the dynamic process of non-PMU measurement points

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