Development of AMI NMS (Network Management System) using SNMP for Network Monitoring of Meter Reading Devices

Kim, Young Il; Park, So-Jeong; Kim, Young‐Jun; Jung, Nam-Jun; Choi, Moon-suk; Park, Byung-Seok

doi:10.18770/kepco.2016.02.02.259

Cited by 2 publications

(4 citation statements)

References 3 publications

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“…The long-term roadmap of KEPCO’s AMI has been established according to the intelligent power grid roadmap plan of the Korean government in 2010 [ 27 ]. In 2013, the AMI project was started, with AMI being installed for 2 million customers, which will expand to 22.5 million customers by 2025, with an investment of approximately USD 15 billion [ 9 , 10 ]. By the end of 2022, AMI had been installed for 12.5 million customers, providing basic services such as remote metering, outage management system (OMS), fraud detection, and secondary monitoring of distribution service transformers.…”

Section: Kepco’s Ami Architecture and Enhancement Planmentioning

confidence: 99%

“…The simple network management protocol (SNMP) is used for AMI device management in KEPCO [ 9 ]. However, it is originally developed for communication devices such as routers, thus this protocol is heavy and outdated.…”

Section: Kepco’s Ami Architecture and Enhancement Planmentioning

confidence: 99%

“…AMI devices consist of a head-end (HE), an aggregator, a communication network, and a smart meter. Due to the acceleration of AMI deployment, it is necessary to manage efficiently a large amount of AMI devices [ 9 , 10 , 11 ]. Thus, AMI devices, except smart meters, tend to adopt IoT protocols, which are representational state transfer (RESTful)-based [ 12 , 13 ] LwM2M or message queuing telemetry transport (MQTT) protocols for efficient device management such as parameter setting, initial authentication, provisioning, and firmware update.…”

Section: Introductionmentioning

confidence: 99%

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Data Interworking Model and Analysis for Harmonization of Smart Metering Protocols in IoT-Based AMI System

Myoung

Kwon

Park

et al. 2023

Sensors

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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.

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Section: Kepco’s Ami Architecture and Enhancement Planmentioning

confidence: 99%

Section: Kepco’s Ami Architecture and Enhancement Planmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Data Interworking Model and Analysis for Harmonization of Smart Metering Protocols in IoT-Based AMI System

Myoung

Kwon

Park

et al. 2023

Sensors

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“…The application of smart energy meters can realize intelligent power management, online monitoring of SM metering status, reduce human resource waste, timely replacement of faulty meters, and effectively prevent power loss [7][8]. The normal operation of smart meters can be realized only by integrating inaccurate replacement into smart meters, improving the management level of users' meters, improving the service quality of electric energy, and improving the measurement accuracy of electric energy meters [9][10].…”

Section: Introductionmentioning

confidence: 99%

The acquisition system incorporating inaccurate replacement under the information technology

Chen

Zhou²,

Ma³

et al. 2022

Third International Conference on Computer Communication and Network Security (CCNS 2022)

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With the application of information technology in the field of electric power, the emergence of smart meters(SM) has made the collection of electricity information data faster and more convenient, and its collection, processing and analysis of power data has become more intelligent and automated. The SM data acquisition system under the information technology can effectively reduce the input of manpower and material resources, monitor power data online, and feed back to relevant staff as soon as a problematic power meter is found, so that the power meter can be replaced quickly. SM data acquisition system online monitoring, data processing and analysis to quickly perform inaccurate replacement behavior can improve the user's power meter management level, improve the quality of power service, and improve the accuracy of meter measurement. The main research of this paper is the analysis of the collection system integrating the inaccurate replacement under the information technology, the analysis of the composition of the SM collection system, and the monitoring of the user's electricity consumption data. Next, the necessity of inaccurate replacement is explained, and the function analysis of the acquisition system that incorporates inaccurate replacement is carried out. This paper studies the data error of the electricity meter collection system, analyzes the current and voltage integration, and analyzes the electricity consumption data of the area where the SM collection system integrated into the inaccurate replacement is replaced. The research results show that after using the smart meter with inaccurate replacement, the abnormal situation of user power consumption data in this area gradually decreases. When the total number of lines is the same, the qualified rate of power consumption data gradually increases, from 95.89% in January to 99.32% in June.

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Development of AMI NMS (Network Management System) using SNMP for Network Monitoring of Meter Reading Devices

Cited by 2 publications

References 3 publications

Data Interworking Model and Analysis for Harmonization of Smart Metering Protocols in IoT-Based AMI System

Data Interworking Model and Analysis for Harmonization of Smart Metering Protocols in IoT-Based AMI System

The acquisition system incorporating inaccurate replacement under the information technology

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