Load decomposition implementation method and system based on big data

A technology of load decomposition and implementation method, which is applied in the direction of measuring devices, instruments, measuring electricity, etc., can solve problems such as indistinguishable load classification research, and achieve the effect of promoting optimal configuration, accurate and efficient analysis, and improving power utilization efficiency

Pending Publication Date: 2020-12-08
南京航灵信息科技有限公司
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Problems solved by technology

Srinivasan et al. developed a non-invasive detection method based on neural networks, but this method cannot classify different loads under different voltages

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  • Load decomposition implementation method and system based on big data
  • Load decomposition implementation method and system based on big data

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Embodiment Construction

[0022] Such as Figure 1-2 As shown, the method and system for implementing load decomposition based on big data, including the method and system include the establishment of a load characteristic library of user electrical equipment, non-intrusive load decomposition of user electricity data, collection of user electricity data and load decomposition Data accuracy verification, the load characteristic library of the user's electrical equipment is the basis of the entire project, based on the analysis of load characteristic sample data to extract the load characteristics of various electrical equipment, and store the sample data and characteristic data in the force load characteristic database , the non-intrusive load decomposition of user electricity data is based on the feature data in the load feature library, using the corresponding model algorithm and machine learning technology to realize the model algorithm based on non-intrusive user electrical equipment load decompositi...

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Abstract

The invention discloses a load decomposition implementation method and system based on big data, and the method comprises the steps: building a load feature library of user power utilization equipment, carrying out the non-intrusive load decomposition of user power utilization data, collecting the user power utilization data, and verifying the accuracy of the load decomposition data. The user electric equipment load feature library is the basis of the whole project, load features of various electric equipment are analyzed and extracted based on load feature sample data, the sample data and thefeature data are stored in the force load feature library, the user electric data non-intrusive load decomposition depends on the feature data in the load feature library, A corresponding model algorithm and a machine learning technology are used to achieve a model algorithm based on non-intrusive user electric equipment load decomposition. According to the load decomposition implementation method and system based on big data, the electric energy utilization efficiency of user electricity utilization can be improved by applying a non-intrusive load decomposition technology, optimal configuration of electric power resources is promoted, and the method and system are suitable for wide application and popularization.

Description

technical field [0001] The invention belongs to the technical field of electric power systems and automation thereof, and in particular relates to a method and system for realizing load decomposition based on big data. Background technique [0002] In order to improve the user's electricity consumption experience and refine the management of electricity marketing, it is more and more important to fully grasp the electricity consumption behavior characteristics of electricity users. Through the non-intrusive load decomposition technology, it can provide detailed household energy efficiency information for residential users, help users analyze the composition of household energy consumption, and enable users to understand the impact of their own behavior habits on household energy efficiency, thereby guiding users to consciously take energy-saving measures and maintain Form energy-saving behavior habits, and provide users with personalized energy-saving control strategy servic...

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G01R31/00
CPCG01R31/00
Inventor张浩军张国防
Owner南京航灵信息科技有限公司