Analyzing adjustment and verification errors in electric metering devices for smart power systems considering multiple environmental factors
Environmental conditions can greatly influence the precision of electric metering devices, resulting in heightened measurement errors. This paper presents a correction model for electric metering equipment, considering a range of environmental influences. Initially, the potential impacts of various...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2024-12-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0208799 |
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| _version_ | 1850057136869998592 |
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| author | Chuanliang He Xin Xia Bo Zhang Wei Kang Jinxia Zhang Haipeng Chen |
| author_facet | Chuanliang He Xin Xia Bo Zhang Wei Kang Jinxia Zhang Haipeng Chen |
| author_sort | Chuanliang He |
| collection | DOAJ |
| description | Environmental conditions can greatly influence the precision of electric metering devices, resulting in heightened measurement errors. This paper presents a correction model for electric metering equipment, considering a range of environmental influences. Initially, the potential impacts of various environmental elements on electric metering devices are analyzed. Subsequently, mutual information methods are employed to screen out the environmental factors with significant influence on the electric metering devices. Then, an error adjustment model based on gated recurrent unit-attention is constructed, and the particle swarm optimization algorithm is adopted for the purpose of optimizing hyperparameters. Ultimately, various evaluation metrics are selected, followed by experimental validation to confirm the suggested method’s efficacy. Case studies demonstrate the proposed method performs well across different seasons, with the lowest RMSE reaching 1.24. |
| format | Article |
| id | doaj-art-1d7d1417ea9b4248b2f11cf8166dd694 |
| institution | DOAJ |
| issn | 2158-3226 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | AIP Advances |
| spelling | doaj-art-1d7d1417ea9b4248b2f11cf8166dd6942025-08-20T02:51:31ZengAIP Publishing LLCAIP Advances2158-32262024-12-011412125319125319-1110.1063/5.0208799Analyzing adjustment and verification errors in electric metering devices for smart power systems considering multiple environmental factorsChuanliang He0Xin Xia1Bo Zhang2Wei Kang3Jinxia Zhang4Haipeng Chen5Beijing Electric Power Science & Smart Chip Technology Company Limited, Beijing 100192, ChinaBeijing Electric Power Science & Smart Chip Technology Company Limited, Beijing 100192, ChinaBeijing Electric Power Science & Smart Chip Technology Company Limited, Beijing 100192, ChinaBeijing Electric Power Science & Smart Chip Technology Company Limited, Beijing 100192, ChinaBeijing Electric Power Science & Smart Chip Technology Company Limited, Beijing 100192, ChinaDepartment of Electrical Engineering, Northeast Electric Power University, Jilin, Jilin 132012, ChinaEnvironmental conditions can greatly influence the precision of electric metering devices, resulting in heightened measurement errors. This paper presents a correction model for electric metering equipment, considering a range of environmental influences. Initially, the potential impacts of various environmental elements on electric metering devices are analyzed. Subsequently, mutual information methods are employed to screen out the environmental factors with significant influence on the electric metering devices. Then, an error adjustment model based on gated recurrent unit-attention is constructed, and the particle swarm optimization algorithm is adopted for the purpose of optimizing hyperparameters. Ultimately, various evaluation metrics are selected, followed by experimental validation to confirm the suggested method’s efficacy. Case studies demonstrate the proposed method performs well across different seasons, with the lowest RMSE reaching 1.24.http://dx.doi.org/10.1063/5.0208799 |
| spellingShingle | Chuanliang He Xin Xia Bo Zhang Wei Kang Jinxia Zhang Haipeng Chen Analyzing adjustment and verification errors in electric metering devices for smart power systems considering multiple environmental factors AIP Advances |
| title | Analyzing adjustment and verification errors in electric metering devices for smart power systems considering multiple environmental factors |
| title_full | Analyzing adjustment and verification errors in electric metering devices for smart power systems considering multiple environmental factors |
| title_fullStr | Analyzing adjustment and verification errors in electric metering devices for smart power systems considering multiple environmental factors |
| title_full_unstemmed | Analyzing adjustment and verification errors in electric metering devices for smart power systems considering multiple environmental factors |
| title_short | Analyzing adjustment and verification errors in electric metering devices for smart power systems considering multiple environmental factors |
| title_sort | analyzing adjustment and verification errors in electric metering devices for smart power systems considering multiple environmental factors |
| url | http://dx.doi.org/10.1063/5.0208799 |
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