Discrimination method of wrong data in wide-area measurement system based on time-series relative variation

Abstract

The invention discloses a wide area measurement system error data discrimination method based on time sequence relative variation, and belongs to the field of power grid system error data discrimination. Existing phasor measurement units (PMU) have high dependence on a GPS and strict requirements for data channel quality and have problems that data error and data loss of data acquired by the PMU occur frequently. According to the method, data error is discriminated by comparison of a time sequence relative variation change trend matrix and a predefined WAMS error data time sequence relative variation matrix strategy table. Data correctness can be rapidly judged by the method so that false alarm rate of a WAMS-based power grid fault intelligent diagnosis and accident processing auxiliary decision system can be reduced, and thus the safe and stable operation level of an electric power system can be enhanced.

Description

technical field [0001] The invention belongs to the field of discriminating error data in a wide-area measurement system of a power system, and more particularly relates to a method for discriminating error data in a wide-area measurement system based on time-series relative variation. Background technique [0002] With the rapid development of my country's national economy, the scale of the power grid continues to expand, and the power load increases sharply. The current power system is facing more and more challenges. In order to ensure the safe and stable operation of the power grid, it is necessary to conduct accurate and comprehensive real-time monitoring of the power system's operating status, so that the power grid dispatching can truly achieve an overall view, scientific decision-making, and correct command, and complete the operation control of the power system. The wide-area measurement system (WAMS) came into being. It uses the phasor measurement unit (PMU) as th...

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Problems solved by technology

[0003] However, due to the high dependence of the PMU on GPS and the strict requirements on the quality of the data channel, the data collected by the PMU frequently has problems such as data errors and data loss in practical applications (quoted from the document "Fault Analysis of Phasor Measurement Device", China Southern Power Grid Technology Co., Ltd. , 2012,6(4):76-78), leading to false positives in the power grid fault intelligent diagnosis and accident handling auxiliary decision-making system based on this data source, thus affecting the actual application effect of the real-time monitoring data of the wide-area measurement system , which weakens the role of providing dispatchers with timely and accurate real-time fault diagnosis results

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