Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements
The application and development of a wide-area measurement system (WAMS) has enabled many applications and led to several requirements based on dynamic measurement data. Such data are transmitted as big data information flow. To ensure effective transmission of wide-frequency electrical information...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2022-04-01
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| Series: | Global Energy Interconnection |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2096511722000317 |
| _version_ | 1818253934884552704 |
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| author | Jinsong Li Hao Liu Wenzhuo Li Tianshu Bi Mingyang Zhao |
| author_facet | Jinsong Li Hao Liu Wenzhuo Li Tianshu Bi Mingyang Zhao |
| author_sort | Jinsong Li |
| collection | DOAJ |
| description | The application and development of a wide-area measurement system (WAMS) has enabled many applications and led to several requirements based on dynamic measurement data. Such data are transmitted as big data information flow. To ensure effective transmission of wide-frequency electrical information by the communication protocol of a WAMS, this study performs real-time traffic monitoring and analysis of the data network of a power information system, and establishes corresponding network optimization strategies to solve existing transmission problems. This study utilizes the traffic analysis results obtained using the current real-time dynamic monitoring system to design an optimization strategy, covering the optimization in three progressive levels: the underlying communication protocol, source data, and transmission process. Optimization of the system structure and scheduling optimization of data information are validated to be feasible and practical via tests. |
| first_indexed | 2024-12-12T16:47:58Z |
| format | Article |
| id | doaj.art-d72ce7ad83224124b4bddcfd81e9ed54 |
| institution | Directory Open Access Journal |
| issn | 2096-5117 |
| language | English |
| last_indexed | 2024-12-12T16:47:58Z |
| publishDate | 2022-04-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Global Energy Interconnection |
| spelling | doaj.art-d72ce7ad83224124b4bddcfd81e9ed542022-12-22T00:18:25ZengKeAi Communications Co., Ltd.Global Energy Interconnection2096-51172022-04-0152131142Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurementsJinsong Li0Hao Liu1Wenzhuo Li2Tianshu Bi3Mingyang Zhao4State Key Lab of Alternate Electric Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, PR China; Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology (China Electric Power Research Institute), Beijing 100192, PR ChinaState Key Lab of Alternate Electric Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, PR ChinaBeijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology (China Electric Power Research Institute), Beijing 100192, PR ChinaState Key Lab of Alternate Electric Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, PR ChinaBeijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology (China Electric Power Research Institute), Beijing 100192, PR ChinaThe application and development of a wide-area measurement system (WAMS) has enabled many applications and led to several requirements based on dynamic measurement data. Such data are transmitted as big data information flow. To ensure effective transmission of wide-frequency electrical information by the communication protocol of a WAMS, this study performs real-time traffic monitoring and analysis of the data network of a power information system, and establishes corresponding network optimization strategies to solve existing transmission problems. This study utilizes the traffic analysis results obtained using the current real-time dynamic monitoring system to design an optimization strategy, covering the optimization in three progressive levels: the underlying communication protocol, source data, and transmission process. Optimization of the system structure and scheduling optimization of data information are validated to be feasible and practical via tests.http://www.sciencedirect.com/science/article/pii/S2096511722000317Power systemData networkWide-frequency informationReal-time systemTraffic analysisOptimization strategy |
| spellingShingle | Jinsong Li Hao Liu Wenzhuo Li Tianshu Bi Mingyang Zhao Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements Global Energy Interconnection Power system Data network Wide-frequency information Real-time system Traffic analysis Optimization strategy |
| title | Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements |
| title_full | Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements |
| title_fullStr | Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements |
| title_full_unstemmed | Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements |
| title_short | Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements |
| title_sort | data network traffic analysis and optimization strategy of real time power grid dynamic monitoring system for wide frequency measurements |
| topic | Power system Data network Wide-frequency information Real-time system Traffic analysis Optimization strategy |
| url | http://www.sciencedirect.com/science/article/pii/S2096511722000317 |
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