Electric energy quality analysis system based on spatial information and big data mapping algorithm
A power quality analysis and spatial information technology, applied in the field of power quality analysis, can solve problems such as unfavorable analysis results, equipment tripping and restarting, prone to deviations, etc., to achieve the effects of eliminating errors, improving accuracy, and saving voltage sag protection
Pending Publication Date: 2021-12-10
南京乐帆电气科技有限公司
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Problems solved by technology
[0003] In the prior art, the analysis of power quality is mostly aimed at the overall power system, but the equipment is the object affected when the voltage sag occurs, and the load sensitivity of different equipment is different, and the tolerance to the voltage sag is also different. Deviations are prone to occur when analyzing load sensitivity. Equipment with low load sensitivity will also trip and restart due to the impact of voltage sags. Equipment that withstands multiple voltage sags in a short period of time is often one of the sources of deviation. In power quality analysis This deviation is not considered in the calculation, which is not conducive to obtaining accurate and practical analysis results, so that the corresponding intensity of suppression measures can be taken to protect the equipment and reduce the huge economic losses caused by voltage sags
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Embodiment 1
[0049] Embodiment 1: Use the sag information collection unit to count the number of historical sag occurrences as 5 times, and the corresponding set of sag ratios is a={a 1 , a 2 , a 3 , a 4 , a 5}={90%, 92%, 91%, 95%, 93%}, use the sag source location unit to confirm the location of the sag source when the voltage sag occurred in history, and use the equipment information collection unit to collect the occurrence of voltage sag The set of tripping and restarting times of related equipment is N={N 1 , N 2 , N 3}={2, 1, 5}, the set of rated voltage of corresponding equipment is U额 ={U 额1 , U 额2 , U 额3}={20, 10, 50}, the unit is: kilovolts, the voltage set before each sag measured by the voltage measurement unit before the sag is U={U 1 , U 2 , U 3 , U 4 , U 5}={11, 45, 50, 20, 21}, use the load tolerance analysis module S3 to analyze the voltage sag tolerance of each device: according to the formula Get the set of load sensitivity coefficients of all equipment as...
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The invention discloses an electric energy quality analysis system based on spatial information and a big data mapping algorithm, and the system comprises a data collection module, a database, a load tolerance analysis module, a sag influence analysis module, and a data mapping processing module. The load sensitivity of different devices is analyzed through the load tolerance analysis module, the influence degree of voltage sag is analyzed through the sag influence analysis module, analysis data is mapped to an established model through the data mapping processing module, normalization processing is carried out, the load sensitivity and the influence degree of voltage sag are associated, and the load tolerance analysis module is used for analyzing the load sensitivity of different devices. The big data is processed in parallel, the data processing difficulty is reduced, suppression measures with different intensities are adopted according to different influence degrees on the equipment, and the cost is saved while voltage sag protection is performed on the equipment and the economic loss of voltage sag is reduced.
Description
technical field [0001] The invention relates to the technical field of power quality analysis, in particular to a power quality analysis system based on spatial information and big data mapping algorithms. Background technique [0002] The power quality problem is a general term for many single-type power system interference problems. The importance of power quality continues to increase with the rapid development of the national economy. There are more and more electrical equipment. Accurate analysis of power quality is conducive to taking suppression measures in advance to prevent equipment from being damaged and tripping and restarting when encountering power quality problems. The most important factor affecting power quality is voltage sag. The sag refers to the phenomenon that the effective value of the power supply voltage suddenly drops in a short period of time and then returns to the normal operating state. There are many factors that cause the voltage sag, such as:...
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Login to View More IPC IPC(8): G06F16/2458G06F16/29G06Q10/06G06Q50/06
CPCG06F16/2462G06F16/29G06Q10/06395G06Q50/06Y02P90/82
Inventor 陈列新张海花李峰周晨希张超丁远帆
Owner 南京乐帆电气科技有限公司