A load decomposition method based on cloud platform

A technology of load decomposition and cloud platform, which is applied in the field of electronic information, can solve the problems of low sampling frequency, poor state accuracy rate, and low accuracy rate of decomposition results, etc., to achieve the effect of improving accuracy rate, getting rid of dependence, and solving low accuracy rate

Active Publication Date: 2020-09-29
杭州瓦良格智造有限公司
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Problems solved by technology

[0007] The present invention only needs to use the instantaneous power characteristics in the bus as the input of load decomposition, avoids the high-frequency sampling and Fourier decomposition process of the instantaneous current vector, and combines the Markov probability and the user's habit self-learning process to overcome the problem caused by sampling The problem of low accuracy of decomposition results caused by low frequency and data loss reduces the impact of sampling data loss on accuracy in the actual environment
[0008] Due to the poor accuracy of the state decomposed by the traditional load decomposition method using power, the present invention introduces deep learning technology into the load decomposition to solve this problem, and solves the problem of low accuracy of the traditional time-domain load decomposition

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  • A load decomposition method based on cloud platform
  • A load decomposition method based on cloud platform
  • A load decomposition method based on cloud platform

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Embodiment Construction

[0059]The purpose and effects of the present invention will become more apparent by referring to the accompanying drawings in detail of the present invention.

[0060] figure 1 is the proposed non-intrusive load splitting cloud system. like figure 1 As shown, the platform is divided into two parts: client and cloud. Among them, the client end is mainly used for data collection and user application modules, while the cloud server end is mainly used for data storage and load decomposition.

[0061] like figure 1 As shown in Fig. 1, when the data is collected by the electric meter, the workload resource management program determines the user data transmission mode. For these data, the resource scheduler combines the database management program to allocate appropriate database space for them;

[0062] The resource scheduler is responsible for controlling the connection and working mode between the server and the resource pool. This part is one of the cores of the cloud system...

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Abstract

The invention discloses a load decomposition method based on a cloud platform. The traditional load decomposition method using power can decompose the state with poor accuracy. To solve this problem, the invention introduces deep learning technology into the load decomposition and solves the problem The problem of low accuracy of traditional time domain load decomposition. The present invention uses the instantaneous power characteristics in the bus as the input of load decomposition, avoids the high-frequency sampling and Fourier decomposition process of the instantaneous current vector, combines the Markov probability and the user's habit self-learning process, and overcomes the low sampling frequency 1. The problem of low accuracy of decomposition results caused by data loss reduces the impact of sampling data loss on accuracy in the actual environment.

Description

technical field [0001] The invention relates to the field of electronic information technology, in particular to a load decomposition method based on a cloud platform. [0002] technical background [0003] Load decomposition is divided into two types: intrusive and non-intrusive. The former needs to install electric meters and other sensing devices for the electrical appliances that users want to be monitored to realize real-time transmission of power consumption data; the latter only needs to install smart meters at the entrance of the household power supply bus. , it is not necessary to specifically monitor the working conditions of each electrical appliance. Due to the high cost, large quantity, difficulty in maintenance, and inconvenience to users' life of installing smart meters for all electrical equipment of each user, non-intrusive load decomposition methods are often used in residential power systems to determine the switch status of user electrical appliances and ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/06G06K9/62G06N3/04
CPCG16Z99/00G06N3/045G06F18/214
Inventor 颜钢锋王轶楠
Owner 杭州瓦良格智造有限公司
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