| Title |
Study on High-Reliability Wireless Communication Technology for Supporting AMI Service |
| Authors |
김영현(Younghyun Kim) ; 박명혜(Myung-Hye Park) ; 은창수(Chang-Soo Eun) |
| DOI |
https://doi.org/10.5370/KIEE.2025.74.10.1704 |
| Keywords |
AMI; Wireless Communication; Licensed-band; FMT; TDMA; e-WSN; Field Test |
| Abstract |
This paper proposes an application of artificial neural networks for analyzing electricity market that has insufficient information for calculating equilibrium. Neural networks are constructed and trained on two representative cases in the electricity market. One is for calculating equilibrium price in perfect competition market and the other is for determining whether the transmission congestion occurs. The neural network uses a multilayer structure and learns with backpropagation algorithms for training. The neural networks trained in the case studies calculate the market price with a high probability and also determines an occurrence of the transmission congestion accurately. This paper proposes a licensed-band-based medium-to-high-speed wireless communication system for the deployment of an Advanced Metering Infrastructure (AMI) communication network. The proposed technology utilizes the 380㎒ licensed band, incorporating the Filter Multi-Tone (FMT) modulation scheme and a TDMA-based network architecture. By aggregating six channels, the system achieves a maximum transmission speed of 684 kbps. A field trial was conducted over 30 days with 208 smart meters and five Data Concentrator Units (DCUs) to evaluate the feasibility of the proposed technology for AMI network implementation. |