Abstract
The normal communication between smart meter and concentrator is a key factor influencing the normal function of users’ power consumption systems. To solve the communication failure of the smart meter caused by the signal conflict as well as the collected consecutive information abnormality from the same smart meter, according to the chain optimization index, the networking method of static and dynamic combination proposed in this paper is first used to picked out the optimal relay for a smart meter belonging to multiple relay communication ranges. Meanwhile, the communication with other secondary relays is closed to avoid signal conflict. Then the paper forms different combinations of collected data and these combinations are trained in the extreme learning machine (ELM) to find the characteristics value of power consumption information. Finally, in MATLAB simulation, if ELM detects the abnormal information, new communication path could be promptly found through dynamic adjustment of chain optimization weighted coefficient and the weighted coefficient of the number of the relayed smart meters. It solves the problem of consecutive information abnormality from the same smart meter and raises the reliability of smart meter’s communication, having a significantly meaning to guarantee the normal function of users’ power consumption system.
Highlights
With the large-scale use of smart meters, electricity information acquisition systems have become the largest automatic electric energy measurement system
In order to increase the transmission distance of data signals, networking technology is used in smart meter communication, but in experiments, it found that there are two problems in smart meter networking: one is the communication failure due to signal conflict, which is caused by multiple relays communicating with the same smart meter at the same time, and the other is the abnormality of information collected from smart meters
By means of MATLAB simulation, when a smart meter belongs to the communication range of multiple relays, according to the networking method of static and dynamic combination, the smart meter only communicate with an optimal relay, so it could effectively avoid the signal conflict problem, and when the characteristics of the power information of an smart meter are abnormal, a new communication path could be established in time by dynamically adjusting the link optimization weighting coefficient and the weighting coefficient of the number of relayed and forwarded smart meters, which effectively overcomes the situation of continuous abnormal information coming from a certain smart meter
Summary
With the large-scale use of smart meters, electricity information acquisition systems have become the largest automatic electric energy measurement system. The accurate collection of smart meter information affects the normal work of the power user electric energy data acquisition system, and helps empower utility companies and users to make more informed energy management decisions, and examples such as the success of the demand response program in [1], the analysis of the customers’ willingness to participate in load management programs in [2], and the informed energy management decisions in [3,4] all rely on the accurate collection of electricity information from smart meters
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