| 3rd International Symposium on Resource Exploration and Environmental Science | |
| Research on Smart Grid Planning and Construction Based on GIS Resource Allocation Technology | |
| 生态环境科学 | |
| Huang, Jianmin^1 ; He, Jian^1 ; Yan, Kun^1 ; Li, Weiping^1 ; Yang, Jie^1 ; Xia, Tao^1 ; Ye, Yu^1 ; Tu, Lei^1 | |
| Yichang Power Supply Company of State Grid, Yichang, Hubei | |
| 443000, China^1 | |
| 关键词: Business applications; Complex engineering; Geo-spatial informations; Geographic information; Intelligent technology; Public service platforms; Resource utilizations; System architectures; | |
| Others : https://iopscience.iop.org/article/10.1088/1755-1315/300/4/042076/pdf DOI : 10.1088/1755-1315/300/4/042076 |
|
| 学科分类:环境科学(综合) | |
| 来源: IOP | |
PDF
|
|
【 摘 要 】
Smart grid planning and construction is a very complex engineering project that requires intelligent technology to protect systems such as grid lines and substations to control grid stability and power quality. The smart grid GIS resource allocation technology has designed a new system architecture for the needs of building smart grids. The article expounds the key technologies and typical applications of smart grid GIS resource allocation technology, and describes its broad application prospects in smart grid. As a public service platform for graphical display applications, GIS platform constructs a spatial geographic information data center, which is intelligent. Applications such as grid integration, data mining, and intensive resource utilization provide a massive data storage, management, and analysis environment. The grid GIS platform provides geospatial information sharing and business application integration for smart grid power generation, transmission, substation, power distribution, power consumption, dispatching, etc., providing planning methods and visual analysis services for the construction of smart grid systems.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Research on Smart Grid Planning and Construction Based on GIS Resource Allocation Technology | 813KB |
PDF