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Metering device fault tracing method based on deep belief network

A deep belief network and metering device technology, applied in the field of power system distribution and transformation data processing, can solve the problems of slow processing speed, difficulty in processing high-dimensional features, and large memory footprint.

Active Publication Date: 2020-03-13
ELECTRIC POWER SCI RES INST OF STATE GRID XINJIANG ELECTRIC POWER +2
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  • Application Information

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Problems solved by technology

Aiming at the problems of slow processing speed, large memory usage, and difficulty in processing high-dimensional features in traditional methods when processing massive data, the present invention provides a fault tracing method for metering devices based on deep belief networks

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  • Metering device fault tracing method based on deep belief network
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  • Metering device fault tracing method based on deep belief network

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Embodiment Construction

[0062] The present invention will be further described below in conjunction with the accompanying drawings.

[0063] 1. Basic principles of deep belief network model:

[0064] Deep belief network (deep belief network, DBN) is a neural network model composed of multiple restricted Boltzmann machine (RBM) stacks, and its core is the RBM unit. DBN is an improvement on the basis of the traditional BP neural network, using a neural network model composed of multiple RBM stacks. The first step is to use the unsupervised greedy algorithm to train each layer of RBM separately in the pre-training process. A more reasonable pre-training process can provide a good initial weight value for the entire DBN network, and also provides convenience for subsequent training. . In the second step, the traditional feedforward BP backpropagation is used to change the value, so that the optimal position of local convergence can be obtained.

[0065] figure 1 Represents a simple DBN network struct...

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Abstract

The invention discloses a metering device fault tracing method based on a deep belief network. The method comprises the following steps: constructing a sample library through the integration of the ledger data of an intelligent electric meter and the power utilization characteristic data of a fault electric meter, and carrying out learning on an offline ledger data sample library through a deep belief network model; inputting attribute data contained in an online ledger data sample library into the trained deep belief network model to judge whether the operation state of a metering device is normal or not; and carrying out further fault tracing on an electric meter detected to a have a fault through a power utilization curve fault characteristic sample library, and finally obtaining an accurate metering device fault tracing result. The metering device fault tracing method based on a deep belief network provided by the invention provides scientific and reasonable guidance for a meteringdevice rotation period and an overhaul strategy.

Description

technical field [0001] The invention relates to a fault tracing method of a metering device based on a deep belief network, and belongs to the technical field of power system distribution transformer data processing. Background technique [0002] At present, the power system generates a large amount of data in the actual operation process. The efficient collection and use of these data is an important problem to be solved urgently in the smart grid big data. As of January 2018, State Grid Corporation of China's smart meters and electricity consumption information collection have covered 99% of power users within the business scope. The time series data collected by smart meters contains rich power consumption behavior information and characteristics of power users. Therefore, it provides the modeling and forecasting work for power system user load forecasting, planned outage management, electrical equipment maintenance, optimal dispatching, reasonable response to the destruc...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R35/04
CPCG01R35/04
Inventor 李宁费守江刘国亮杨琳孙羽森
Owner ELECTRIC POWER SCI RES INST OF STATE GRID XINJIANG ELECTRIC POWER