Design of Online Calibration Device for Electric Energy Metering Based on GPS Synchronous Sampling

Wu, Ying; Chen, Chongming; Yao, Dongfang; Cao, Rui

doi:10.1088/1757-899x/677/4/042097

Cited by 1 publication

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“…However, for a large number of access points requiring verification, this method is inefficient and incurs high equipment investment and maintenance costs. Some RVS [18][19][20][21] have employed a design approach of "local high-precision acquisition + remote verification." However, in these systems, after the energy measurement is completed by the local acquisition device, only a simple comparison is made between the measured energy and the value of the meter under test.…”

Section: Remote Verification Based On Pcpmentioning

confidence: 99%

“…As a result, the issue of inadequate traceability of the measurement values still persists. In response, some scholars have developed remote verification systems (RVS) for energy metering based on analog signal online acquisition [18][19][20][21][22][23] and RVS for energy metering devices based on IEC 61850 [24][25][26]. These systems have improved the traceability framework to some extent, but they only support specific types of devices in fixed scenarios, they lack overall compatibility, and their verification methods rely on dedicated hardware resources, thus failing to meet the requirements for large-scale remote and efficient verification.…”

Section: Introductionmentioning

confidence: 99%

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Research on Intelligent Verification System of High Voltage Electric Energy Metering Device Based on Power Cloud

et al. 2023

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To address the issues of low efficiency, poor security, insufficient compatibility, and difficulties in traceability associated with high-voltage electric energy metering (HVEEM) device verification methods, this paper proposes a design scheme for a remote verification system (RVS) of such devices based on a power cloud platform (PCP). The system adopts the concept of “high-precision local sampling + remote cloud verification” and develops a local acquisition device with compatibility and high precision to achieve fast acquisition of local electrical parameters. The IEC 61850 communication modeling is utilized to establish unified communication standards between the local device and the PCP. The PCP provides two verification methods: physical error verification based on a multi-channel standard and digital verification based on an improved Backpropagation (BP) neural network simulation model. Leveraging the advantages of power cloud technology, the system enables functions such as electrical energy calculation, remote intelligent error verification, cloud storage, condition monitoring, and early warning. Through testing and application, it has been demonstrated that the system achieves an integration accuracy level better than 0.02. It also exhibits good security, compatibility, and traceability of measurement values while attaining a high level of informatization and intelligence. Particularly, the system shows promising prospects for the remote and efficient verification of large-scale and multi-type high-voltage metering devices.

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Section: Remote Verification Based On Pcpmentioning

confidence: 99%