| Autor: |
Shang-Lin Xing, Di Wang, Hong-Hai Zhao, Yu-Sheng Wang |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
DEStech Transactions on Engineering and Technology Research. |
| ISSN: |
2475-885X |
| DOI: |
10.12783/dtetr/pmsms2018/24910 |
| Popis: |
With the adjustment of China's energy structure and the development of smart grid technology, the ability to adjust the flexible load on the power demand side plays an important role in the future development of the power system. Therefore, this paper proposes a scaled flexible load scheduling platform architecture based on Spark technology. The architecture consists of five layers, which can not only support the business needs of huge real-time data, but also be compatible with existing computer resources. The validity and efficiency of the platform are verified by a case study. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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