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A Method of Restoring Load Working State Based on Load Historical Current Data

A technology of working state and current, applied in the field of power system, can solve the problems of poor data noise compatibility and low calculation efficiency, and achieve the effect of strong adaptability, strong anti-noise ability and improved calculation efficiency

Active Publication Date: 2022-06-21
STATE GRID ZHEJIANG ELECTRIC POWER +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the load state restoration based on the clustering algorithm still has two main disadvantages: 1) low computational efficiency; 2) poor compatibility with data noise

Method used

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  • A Method of Restoring Load Working State Based on Load Historical Current Data
  • A Method of Restoring Load Working State Based on Load Historical Current Data
  • A Method of Restoring Load Working State Based on Load Historical Current Data

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Embodiment Construction

[0024] Below in conjunction with the accompanying drawings and specific embodiments, the present invention will be further clarified. It should be understood that these embodiments are only used to illustrate the present invention and not to limit the scope of the present invention. Modifications of equivalent forms all fall within the scope defined by the appended claims of this application.

[0025] This embodiment uses the current data of five loads of washing machines, dryers, dishwashers, entertainment equipment (TV, audio, etc.), and office equipment (table lamps, computers, etc.) in the load identification open data set AMPds from April to August to compare the The invented moving average method is verified by a numerical example, and its time series is down-sampled for 5 minutes.

[0026] The given variance threshold σ in the clustering algorithm thre It has a great influence on the calculation results. It is better to take 0.1 in the test. The small current standard ...

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Abstract

The invention discloses a method for restoring load working state according to load historical current data. The method is aimed at the defects of low calculation efficiency and poor data noise compatibility in the existing clustering algorithm in the process of load state restoration. The method of sliding average is used to restore the load working state based on the historical load current data. This method has strong anti-noise ability, and there will be no false increase classification or missing classification in the case of large power fluctuations, and its parameter settings are not sensitive to data. , strong adaptability; compared with traditional clustering methods, the computational efficiency has been improved by more than 100 times.

Description

technical field [0001] The invention belongs to the technical field of power systems, relates to a load identification technology, and in particular to a method for restoring a load working state according to load historical current data. Background technique [0002] According to the historical data of the load, such as load power and load current, extracting and restoring the working state of the load has a wide range of applications in the field of load identification technology. The power or current of the load in each working state can be considered to obey the mean value of μ and the variance of δ 2 normal distribution. For a period of historical power data of an electrical appliance, a clustering method is commonly used to obtain several working states of the electrical appliance. However, in the clustering process, the number of cluster centers needs to be given first, and this parameter will affect the extracted electrical state, which in turn affects the decompos...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06Q10/06G06Q50/06
CPCG06Q10/0639G06Q50/06G06F18/23213
Inventor 董树锋王孝慈毛航银
Owner STATE GRID ZHEJIANG ELECTRIC POWER