Voltage dip data analysis method based on cloud computing technology

A technology of voltage sag and data analysis, applied in the direction of electrical digital data processing, calculation, data processing applications, etc., can solve the problems of low efficiency and achieve the effect of improving computing efficiency and fault tolerance

Active Publication Date: 2013-11-27
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

[0012] The object of the present invention is to provide a novel parallel computing method based on

Method used

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  • Voltage dip data analysis method based on cloud computing technology
  • Voltage dip data analysis method based on cloud computing technology
  • Voltage dip data analysis method based on cloud computing technology

Examples

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Example Embodiment

[0050] [Example]

[0051] The source data of this embodiment is 5 sag events, each sag event is divided into 3 phases, each phase has 7 cycles, and each cycle has 512 points. Through cloud computing-based voltage sag data analysis method, the sag start time, duration, minimum amplitude and sag phase characteristic values ​​of 5 sag events are finally calculated. In the map phase, an effective value is calculated for 512 points of each cycle, and all eigenvalues ​​are calculated through the effective value sequence in the reduce phase, where the sag phase is the phase where the minimum amplitude is located.

[0052] Due to the large number of source data points, we will not list them all here. All point values ​​of each cycle read from the database are separated by commas, and the format is as follows:

[0053] -6.63,-106.15,-205.66,-311.81,-414.64,……,414.64,311.81,202.34,102.83 The entire calculation process is as follows:

[0054] 1.map phase

[0055] Each map() function follows the...

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Abstract

The invention provides a voltage dip data analysis method based on a cloud computing technology and belongs to the technical field of electric energy quality analysis. The voltage dip data analysis method comprises the steps of adopting a cloud computing platform based on hadoop1.1.2 to transfer waveform data in a relationship-based data base to a KV data base through a MapReduce programming mechanism and a transferring tool Sqoop and memorizing data with specific cyclic waves in a key value mode; reading one key value pair (key, value) serving as an input from the KV data base through each Mapper (mapping class); traversing one cyclic wave data and calculating an RMS (root-mean-square) value; sorting output results of all of Mapper (mapping class); combining RMS data curves of the same phase of the same event through a Reducer and traversing the curves to calculate dip characteristic values. The voltage dip data analysis method enables relevant data of voltage dip to be directly and parallelly calculated in multiple computers through the Hadoop cloud computing platform, really achieves superposition of computing capacity of multiple physical computers, accordingly improves the computing efficiency greatly and fault tolerance of the cloud computing platform and also improves the reliability of dip calculation results.

Description

technical field [0001] The invention relates to a method for analyzing voltage sag data based on cloud computing technology, and belongs to the technical field of power quality analysis. Background technique [0002] Voltage sag, also known as voltage sag, is a power quality problem. In modern industrial production, a large number of power electronic devices are used. Most of these devices are very sensitive to voltage sags. Once severe or frequent sags occur, these devices are likely to shut down and stop production, resulting in huge losses such as damage or even scrapping. This requires the power sector to have an in-depth understanding of the sag situation in each region and time period, and through analysis, collect information such as its characteristic value, frequency of occurrence, and cause. Therefore, in the power quality monitoring system, a large amount of sag data needs to be deeply excavated and analyzed, which is undoubtedly a challenge to the analysis and c...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q50/06
Inventor 齐林海艾明浩马素霞
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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