Data Interworking Model and Analysis for Harmonization of Smart Metering Protocols in IoT-Based AMI System
Author:
Myoung Nogil1ORCID, Kwon Yoojin1, Park Myunghye1, Eun Changsoo2
Affiliation:
1. Digital Solution Laboratory, Korea Electric Power Corporation (KEPCO) Research Institute, 105 Munji-ro, Yuseong-gu, Daejeon 34056, Republic of Korea 2. Department of Radio and Information Communication Engineering, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea
Abstract
In the energy sector, since the adoption of remote device management for massive advanced metering infrastructure (AMI) devices and Internet of Things (IoT) technology using a representational state transfer (RESTful) architecture, a blurred boundary has been developed between traditional AMI and IoT. With respect to smart meters, the standard-based smart metering protocol, called the device language message specification (DLMS) protocol, still has a predominant role in the AMI industry. Thus, we aim to propose a novel data interworking model in this article that embraces the DLMS protocol in AMI using the most promising IoT protocol, the so-called lightweight machine-to-machine (LwM2M) protocol. We provide a 1:1 conversion model using the correlation of the two protocols with an analysis of the object modeling and resource management methods of both the LwM2M and DLMS protocols. The proposed model utilizes a complete RESTful architecture, which is the most beneficial in the LwM2M protocol. It improves the average packet transmission efficiency and packet delay on the plaintext and encrypted text (session establishment and authenticated encryption) by 52.9%p and 9.9%p, respectively, and by 11.86 ms for both cases, compared to the encapsulation method of the LwM2M protocol, KEPCO’s current approach. This work provides the key idea to unify the protocol for the remote metering and device management of field devices into the LwM2M protocol, and it is expected that this work will improve the efficiency in the operation and management of KEPCO’s AMI system.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference36 articles.
1. Uribe-Pérez, N., Hernández, L., de la Vega, D., and Angulo, I. (2016). State of the Art and Trends Review of Smart Metering in Electricity Grids. Appl. Sci., 6. 2. Silvia, V., Nikoleta, A., Mircea, A., and Gianluca, F. (2022). Smart Metering Roll-Out in Europe: Where Do We Stand? Cost Benefit Analyses in the Clean Energy Package and Research Trends in the Green Deal. Energies, 15. 3. Smart meters and advanced metering infrastructure;Joao;Pathways Smarter Power Syst.,2019 4. Muhammad, H., Faisal, M., Haseeb, K., Muhammad, A., Muhammad, R., Shah, A., and Muhammad, Z. (2022). Smart Energy Meters in Renewable-Energy-Based Power Networks: An Extensive Review. Eng. Proc., 20. 5. (2023, January 22). Survey of International Experience in Advanced Metering Infrastructure and its Implementation. Available online: https://documents1.worldbank.org/curated/en/957331569246407856/pdf/Survey-of-International-Experience-in-Advanced-Metering-Infrastructure-and-its-Implementation.pdf.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|