Method for detecting and identifying dynamic bad data of electric power system

Abstract

The invention relates to the technical field of operation and control of an electric power system and discloses a method for detecting and identifying dynamic bad data of the electric power system. The method comprises the steps of A, reading a current network parameter and a network topology of the electric power system and forming a node admittance matrix and a branch circuit-node incidence matrix; B, establishing an equivalent circuit according to the network topology of the electric power system and configuring measurement functions and a power management unit (PMU) of the electric power system, wherein system measurement includes node voltage amplitude measurement, node current amplitude measurement, node power injection measurement and node trend measurement; C, detecting and identifying the dynamic bad data of the electric power system; D, judging the convergence condition. By means of the method, accidentally arisen bad data from a supervisory control and data acquisition (SCADA) system and in the PMU measurement can be found and eliminated, and accordingly an accurate operation state, voltage amplitude and phase angles of nodes of a power grid are obtained.

Description

technical field [0001] The invention relates to a method for detecting and identifying dynamic bad data of a robust power system based on a synchronous phase angle measuring device (PMU), and belongs to the technical field of power system operation and control. Background technique [0002] Power system state estimation is an important part of the energy management system. Its main function is to filter the real-time information provided by the data acquisition and monitoring system (SCADA) and the wide area measurement system (WAMS) to improve data accuracy and eliminate error information. interference, so as to obtain a high-quality real-time database, which provides data support for various important control and planning of the energy management center (EMS), such as real-time modeling of the power grid, power flow optimization, and reliable and Safety assessment. The detection and identification of bad data is one of the important functions of power system state estimat...

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Problems solved by technology

[0005] On the other hand, few of the current power system dynamic state estimation methods introduce the detection and identification of bad data before filtering. Most of the detection and identification methods of bad data are completed on the basis of state estimation results. The bad data with small error in the filtering stage is difficult to detect in the filtering stage; in addition, the dynamic bad data detection and identification method integrated with PMU measurement is even more lacking.

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