Database dynamic update management system for power system
Through the use of smart terminal equipment such as smart meters, the operating data of the entire power system can be collected, and then the collected power big data can be processed and analyzed systematically, thereby real-time monitoring of the power grid; further, combining big data analysis a...
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| Veröffentlicht in: | Journal of physics. Conference series 2020-05, Vol.1550 (5), p.52001 |
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| container_issue | 5 |
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| container_title | Journal of physics. Conference series |
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| creator | Zhang, Qiang Li, Bao Yuan, Quan Lu, Mingfu Huang, Xinlei |
| description | Through the use of smart terminal equipment such as smart meters, the operating data of the entire power system can be collected, and then the collected power big data can be processed and analyzed systematically, thereby real-time monitoring of the power grid; further, combining big data analysis and power system models, Can diagnose, optimize and predict the operation of the power grid, and provide guarantee for the safe, reliable, economical and efficient operation of the power grid. The data sources of the power industry are mainly derived from the power generation, transmission, transformation, distribution, power consumption and dispatching of power production and use of electricity, which can be roughly divided into three categories: one is grid operation and equipment detection or monitoring data; two It is the marketing data of electric power companies, such as data on transaction electricity prices, electricity sales, and customers. Third is the management data of electric power companies. Through the use of smart terminal equipment such as smart meters, the operating data of the entire power system can be collected, and then the collected power big data can be processed and analyzed systematically to achieve real-time monitoring of the power grid; further combining big data analysis and power system models for the power grid Diagnose, optimize and predict the operation, and provide guarantee for the safe, reliable, economical and efficient operation of the power grid. |
| doi_str_mv | 10.1088/1742-6596/1550/5/052001 |
| format | Article |
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The data sources of the power industry are mainly derived from the power generation, transmission, transformation, distribution, power consumption and dispatching of power production and use of electricity, which can be roughly divided into three categories: one is grid operation and equipment detection or monitoring data; two It is the marketing data of electric power companies, such as data on transaction electricity prices, electricity sales, and customers. Third is the management data of electric power companies. Through the use of smart terminal equipment such as smart meters, the operating data of the entire power system can be collected, and then the collected power big data can be processed and analyzed systematically to achieve real-time monitoring of the power grid; further combining big data analysis and power system models for the power grid Diagnose, optimize and predict the operation, and provide guarantee for the safe, reliable, economical and efficient operation of the power grid.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/1550/5/052001</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Big Data ; Data analysis ; Data base management systems ; Electric industries ; Electric power ; Electric power distribution ; Electric power grids ; Electric power systems ; Electricity ; Electricity distribution ; Electricity meters ; Electricity pricing ; Monitoring ; Power consumption ; Real time</subject><ispartof>Journal of physics. 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Conference series</title><addtitle>J. Phys.: Conf. Ser</addtitle><description>Through the use of smart terminal equipment such as smart meters, the operating data of the entire power system can be collected, and then the collected power big data can be processed and analyzed systematically, thereby real-time monitoring of the power grid; further, combining big data analysis and power system models, Can diagnose, optimize and predict the operation of the power grid, and provide guarantee for the safe, reliable, economical and efficient operation of the power grid. The data sources of the power industry are mainly derived from the power generation, transmission, transformation, distribution, power consumption and dispatching of power production and use of electricity, which can be roughly divided into three categories: one is grid operation and equipment detection or monitoring data; two It is the marketing data of electric power companies, such as data on transaction electricity prices, electricity sales, and customers. Third is the management data of electric power companies. Through the use of smart terminal equipment such as smart meters, the operating data of the entire power system can be collected, and then the collected power big data can be processed and analyzed systematically to achieve real-time monitoring of the power grid; further combining big data analysis and power system models for the power grid Diagnose, optimize and predict the operation, and provide guarantee for the safe, reliable, economical and efficient operation of the power grid.</description><subject>Big Data</subject><subject>Data analysis</subject><subject>Data base management systems</subject><subject>Electric industries</subject><subject>Electric power</subject><subject>Electric power distribution</subject><subject>Electric power grids</subject><subject>Electric power systems</subject><subject>Electricity</subject><subject>Electricity distribution</subject><subject>Electricity meters</subject><subject>Electricity pricing</subject><subject>Monitoring</subject><subject>Power consumption</subject><subject>Real time</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkNtKxDAQhoMouK4-gwXvhNocOm3WO1nPLCio1yFtJtLFHky6SN_elC4rgmBuJsx8_wx8hJwyesGolAnLUx5nsMgSBkATSChwStkeme0m-7u_lIfkyPs1pSK8fEYur3WvC-0xMkOj66qMNp3RPUa1bvQ71tj0kR98j3VkWxd17Re6beOYHFj94fFkW-fk7fbmdXkfr57uHpZXq7gUkrG4lCkCpjYrjTZQgEEspOG0AC2Z5mBZxjOzEAJykUKAipIzqYs8F9JKZsScnE17O9d-btD3at1uXBNOKg4hRLngMlD5RJWu9d6hVZ2rau0GxagaRalRgRp1qFGUAjWJCsnzKVm13c_qx-fly29QdcYGWPwB_3fiG9H9d74</recordid><startdate>20200501</startdate><enddate>20200501</enddate><creator>Zhang, Qiang</creator><creator>Li, Bao</creator><creator>Yuan, Quan</creator><creator>Lu, Mingfu</creator><creator>Huang, Xinlei</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20200501</creationdate><title>Database dynamic update management system for power system</title><author>Zhang, Qiang ; 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Through the use of smart terminal equipment such as smart meters, the operating data of the entire power system can be collected, and then the collected power big data can be processed and analyzed systematically to achieve real-time monitoring of the power grid; further combining big data analysis and power system models for the power grid Diagnose, optimize and predict the operation, and provide guarantee for the safe, reliable, economical and efficient operation of the power grid.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/1550/5/052001</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Big Data Data analysis Data base management systems Electric industries Electric power Electric power distribution Electric power grids Electric power systems Electricity Electricity distribution Electricity meters Electricity pricing Monitoring Power consumption Real time |
| title | Database dynamic update management system for power system |
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