Wenjie ZHENG, Xiaojun CHEN, Bo LI, Shu HUANG. Practical Research on Graph and Model Exchange Between GIS and Distribution Automation System[J]. SOUTHERN ENERGY CONSTRUCTION, 2014, 1(1): 34-37. doi: 10.16516/j.gedi.issn2095-8676.2014.01.006
Citation:
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Wenjie ZHENG, Xiaojun CHEN, Bo LI, Shu HUANG. Practical Research on Graph and Model Exchange Between GIS and Distribution Automation System[J]. SOUTHERN ENERGY CONSTRUCTION, 2014, 1(1): 34-37. doi: 10.16516/j.gedi.issn2095-8676.2014.01.006
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Practical Research on Graph and Model Exchange Between GIS and Distribution Automation System
- 1.
Electric Power Research Institute, Guangdong Power Grid, Co., Ltd., Guangzhou 510080, China
- 2.
Guangdong Provincial Key Laboratory of Smart Grid Technology, Guangzhou 510080, China
- 3.
Operation Department, Guangdong Power Grid, Co., Ltd., Guangzhou 510080, China
- Received Date: 2014-10-01
- Publish Date:
2014-12-25
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Abstract
At present, the graphics modules' automatic export from geographic information system(GIS) and import to distribution automation systems (DAS)are not solved in most of the new local power supply bureaus. Data quality is the most common problem found in the data model between the export from GIS and the import to DAS. The graph and model exchange cannot be finished in an automatic manner while DAS does not have unified graphic primitives and the graphics appears to be misplaced after importing SVG graphics from GIS. Workflows for graph and model exchange between GIS and DAS have been discussed and established in many power supply bureaus of Guangdong Power Grid. Provided that the correspondent department and personel have been assigned, the process still needs to be strengthened and so does the automation level. This paper presents the problem of model in GIS and graphics after deriving from GIS and importing to DAS. Suggestions and the corresponding countermeasures are also provided . The results show that the enterprise application integration will be further improved by considering the practical research on graph and model exchange between GIS and DAS with the optimization of management process.
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