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Electrical equipment energy efficiency chaos analysis method based on massive measurement data

A technology of metering data and electrical equipment, applied in the field of chaotic analysis of energy efficiency of electrical equipment based on massive metering data, can solve problems such as power supply shortage, power load analysis and prediction, power grid planning difficulties, waste, etc.

Inactive Publication Date: 2016-06-22
STATE GRID CORP OF CHINA +2
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Problems solved by technology

However, with the rapid development of enterprises and the continuous expansion of scale, while the demand for energy continues to increase, waste is also very serious
At the same time, the highest power load in my country generally continues to grow rapidly, the peak-to-valley difference increases, and the power supply is tight during peak hours and power equipment maintenance seasons, which poses a great threat to the safe operation of the power grid. many difficulties

Method used

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  • Electrical equipment energy efficiency chaos analysis method based on massive measurement data
  • Electrical equipment energy efficiency chaos analysis method based on massive measurement data
  • Electrical equipment energy efficiency chaos analysis method based on massive measurement data

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Embodiment Construction

[0059] As shown in the figure, the present invention comprises the following steps:

[0060] 1) Use fuzzy C-means clustering (FCM) to determine the extent to which the comprehensive load characteristics of users belong to a certain cluster with the degree of membership, and put n industry users x i (i=1,2,,,n) is divided into c fuzzy classes, and the cluster center of each class is calculated to minimize the weighted error square sum function within the class; FCM uses fuzzy division, so that each given data Points use the degree of membership between (0, 1) to determine the degree to which they belong to each group; adapting to the introduction of fuzzy division, the membership matrix U allows elements with values ​​​​between 0 and 1; normalization stipulates that a The sum of the degrees of membership of a dataset is equal to 1:

[0061] J ( U , c 1 , ...

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Abstract

The invention provides an electrical equipment energy efficiency chaos analysis method based on massive measurement data, belonging to the technical field of electrical engineering, particularly relating to an electrical equipment energy efficiency chaos analysis method based on massive measurement data. The invention provides the electrical equipment energy efficiency chaos analysis method based on massive measurement data, an advanced measurement data analysis method and a test detection system are combined, the association relation between the use condition of user electrical equipment and user power consumption data is analyzed, thus the power consumption habit of a user and the load characteristic relations of different electrical equipment are obtained. The method comprises the steps of (1) using the membership degree for a fuzzy C-means clustering (FCM) to determine that the integrated load characteristic of the user belongs to which degree of clustering, dividing n industry users xi (i=1,2,,,n) into c fuzzy classes, and obtaining the clustering center of each class such that a class inner weighted error square sum function is minimized.

Description

technical field [0001] The invention belongs to the technical field of electrical engineering, and in particular relates to a chaos analysis method for energy efficiency of electrical equipment based on massive metering data. Background technique [0002] At present, the characteristics of my country's electric energy structure are as follows: the proportion of high energy consumption industries is relatively high, and the industrial economy is extremely dependent on electricity, coal and other energy sources. Judging from the current situation at home and abroad, energy has become a key factor affecting the development and scale expansion of enterprises. However, with the rapid development of enterprises and the continuous expansion of scale, while the demand for energy continues to increase, the phenomenon of waste is also very serious. At the same time, the highest power load in my country generally continues to grow rapidly, the peak-to-valley difference increases, and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCY02P90/82
Inventor 赵钢单美岩金鹏郭昆亚杨东升张化光王占山毕影娇王义贺梁雪
Owner STATE GRID CORP OF CHINA
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