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A Visual Analysis Method for Instability of Variable Pairs in Power Simulation Data

A data-variable, unstable technology, applied in electrical digital data processing, data processing applications, design optimization/simulation, etc., can solve problems such as lack of auxiliary observer tools

Active Publication Date: 2019-07-09
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In the past, anomaly analysis generally used computational methods for simulation, lacking tools to assist observers

Method used

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  • A Visual Analysis Method for Instability of Variable Pairs in Power Simulation Data
  • A Visual Analysis Method for Instability of Variable Pairs in Power Simulation Data
  • A Visual Analysis Method for Instability of Variable Pairs in Power Simulation Data

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Embodiment Construction

[0056] The instability visual analysis method of the power simulation data variable pair in this embodiment includes the following steps:

[0057] Step 1: Obtain multi-dimensional time series data; the acquired data format is: voltage time series change [v 1 ,v 2 ,...,v n ], frequency timing variation [f 1 ,f 2 ,..., f n ];

[0058] Step 2: Convert the time series data in step 1 into a codable form; after data conversion, we get: height offset time series change [y 1 ,y 2 ,...,y n ], color timing changes [c 1 ,c 2 ,...,c n ], sets a fixed one-dimensional mapping scheme for colors, so that a color can be represented by a single value.

[0059] Step 3: Establish a visual interface and apply a coding scheme to the data in step 2; draw the WaveLines view, and its form is determined as a series of strips encoded by color and width. In the strips, use color-coded frequency values ​​and width-coded Voltage offset value; the layout of the view is to arrange the strips corr...

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Abstract

The invention discloses an instability visual analysis method for a power simulation data variable pair. The method comprises the following steps of 1: obtaining multidimensional time sequence data, wherein the time sequence data comprises a voltage, a frequency, a connection relationship among power network nodes, and an electrical distance; 2: performing conversion on the data in the step 1, and performing calculation to obtain time sequence change of two variables including frequency and voltage deviation values; and 3: performing stripe compilation on data obtained in the step 2, coding the frequency value by the color of a stripe, and coding the voltage deviation value by the width of the stripe; according to a layout of a view, longitudinally arranging stripes corresponding to each group of data and transversely performing expansion in time sequence; and detecting stripe changes and performing anomaly monitoring. According to the instability visual analysis method for the power simulation data variable pair, power simulation data can be analyzed from different dimensions, and the correlation of the power simulation data is investigated by an intuitive method; and by highlighting various features, a post-fault shock propagation mode is analyzed.

Description

technical field [0001] The invention relates to the technical field of power system stability analysis, in particular to a method for visually analyzing the instability of power simulation data variable pairs. Background technique [0002] Severe power outages caused by power system instability can lead to huge economic losses, and the study of power system stability is a fundamental issue in the power industry. Based on the definitions proposed by the CIGRE Research Committee and the IEEE Power System Dynamic Performance Committee, the stability of power systems can be roughly classified according to angle stability, frequency stability, and voltage stability. A typical form of power system, the grid is a network that transmits electricity from generators to consumers through a well-organized distribution system. [0003] In recent years, visualization technology has provided a series of practical tools for the demonstration and operation needs of the grid data analysis co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50G06Q50/06
CPCG06F30/20G06Q50/06
Inventor 陈为林立文张天野王琦
Owner ZHEJIANG UNIV