Electric energy metering device state assessment method, device and system

Abstract

The present invention discloses an electric energy metering device state assessment method, device and system. The method comprises: collecting user load motion information at each power consumption day in N continuous power consumption days, wherein N is an integer of being not smaller than 2; obtaining a distance measurement coefficient of each two adjacent power consumption days according to each load motion information and the Mahalanobis distance measurement calculation correlation, wherein the Mahalanobis distance measurement calculation correlation is shown in img file='DDA0001231353030000011.TIF' wi='697' he='89', wherein d is a distance measurement coefficient, xi is the load motion information at the (N-1)th power consumption day, and xj is the load motion information at the Nth power consumption day; determining whether each distance measurement coefficient is larger than an early warning coefficient or not, if each distance measurement coefficient is larger than the early warning coefficient, determining that the power consumption day corresponding to the distance measurement coefficient is an abnormal power consumption day, and determining that the user electric energy metering device state is abnormal; or else, determining the power consumption day corresponding to the distance measurement coefficient is an normal power consumption day, and determining the electric energy metering device state is normal. The electric energy metering device state assessment method, device and system need few data, are easy to perform data collection and are easy to realize the state assessment.

Description

technical field [0001] The invention relates to the technical field of online status monitoring of smart grid equipment, in particular to a method, device and system for evaluating the status of an electric energy metering device. Background technique [0002] Electric energy metering is a very important task for electric energy enterprises, and it is also the key to building trust between electric energy enterprises and users. Accurate metering of electric energy can ensure the fairness of electricity billing, so whether the state of the electric energy metering device is normal directly affects the accuracy of electric energy metering. [0003] At present, the method of measurement error is mainly used to evaluate the state of the user's electric energy metering device. The electrical parameters of the electric energy metering device also need to collect the electrical parameters of multiple adjacent devices that have an electrical topology relationship with the target el...

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Problems solved by technology

[0003] At present, the method of measurement error is mainly used to evaluate the state of the user's electric energy metering device. The electrical parameters of the electric energy metering device also need to collect the electrical parameters of multiple adjacent devices that have an electrical topology relationship with the target electric energy metering device, so as to further evaluate and analyze the state of the target electric energy metering device. The state assessment method of the metering device needs to collect a large amount of data, the data collection process is relatively cumbersome, and the implementation process of the state assessment is relatively complicated

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