Next Article in Journal
The Effect of Control Strategy on Tidal Stream Turbine Performance in Laboratory and Field Experiments
Next Article in Special Issue
Peer to Peer Distributed Energy Trading in Smart Grids: A Survey
Previous Article in Journal
Energy Management Strategy for Hybrid Electric Vehicle Based on Driving Condition Identification Using KGA-Means
Previous Article in Special Issue
Applications of Complex Network Analysis in Electric Power Systems
Open AccessArticle

Static and Dynamic Networking of Smart Meters Based on the Characteristics of the Electricity Usage Information

1
School of Electrical Engineering, Wuhan University, Wuhan 430072, China
2
Guangdong Power Grid Co., Ltd., Guangzhou 510620, China
*
Author to whom correspondence should be addressed.
Energies 2018, 11(6), 1532; https://doi.org/10.3390/en11061532
Received: 25 May 2018 / Revised: 8 June 2018 / Accepted: 8 June 2018 / Published: 12 June 2018
(This article belongs to the Collection Smart Grid)
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. View Full-Text
Keywords: communication failure; the networking technology; static and dynamic; extreme learning machine; signal conflict communication failure; the networking technology; static and dynamic; extreme learning machine; signal conflict
Show Figures

Figure 1

MDPI and ACS Style

Huang, Y.; Sun, Y.; Yi, S. Static and Dynamic Networking of Smart Meters Based on the Characteristics of the Electricity Usage Information. Energies 2018, 11, 1532.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop