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Method for restoring load working state according to 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: 2020-07-17
STATE GRID ZHEJIANG ELECTRIC POWER +1
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  • Abstract
  • Description
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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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  • Method for restoring load working state according to load historical current data
  • Method for restoring load working state according to load historical current data
  • Method for restoring load working state according to load historical current data

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Embodiment Construction

[0024] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0025] This embodiment utilizes the current data of the five loads of washing machines, dryers, dishwashers, entertainment equipment (TV, stereo, etc.), office equipment (desk lamps, computers, etc.) from April to August in the load identification open data set AMPds The invented sliding mean method is verified by an example, and its time series is down-sampled for 5 minutes.

[0026] A given variance threshold σ in the clustering algorithm thre It has a great influence...

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Abstract

The invention discloses a method for restoring a load working state according to load historical current data. The method aims at overcoming the defects that an existing clustering algorithm is low incalculation efficiency and poor in data noise compatibility in the load state restoration process. According to the method, a sliding mean method is adopted to restore the load working state based onload historical current data, the method is high in anti-noise capability, mistaken increasing classification and missing classification cannot occur under the condition of large power fluctuation, and parameter setting of the method is insensitive to data and high in adaptability; compared with a traditional clustering method, the calculation efficiency is improved by more than 100 times.

Description

technical field [0001] The invention belongs to the technical field of power systems, and relates to load identification technology, in particular to a method for restoring the working state of a load according to historical load 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 each working state of the load can be considered to obey the mean value μ and the variance δ 2 normal distribution of . For a period of historical power data of an electrical appliance, clustering methods are 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, and then affect the decompositi...

Claims

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Application Information

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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
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