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Efficient Service Centric Block Chain Data Security for SmartGrid Systems
- Source :
- E3S Web of Conferences, Vol 540, p 10035 (2024)
- Publication Year :
- 2024
- Publisher :
- EDP Sciences, 2024.
-
Abstract
- The data security in smart grid systems is well studied. There exists number of approaches around the problem. But still they suffer to achieve higher performance in data security which degrades the performance of the grid system. To handle this issue, an efficient Service centric blockchain data security model (SBDSM) is presented in this article. Unlike previous methods, the proposed SBDSM model uses different signature of blockchain for different service data. The method use blockchain data towards sharing data between the grids which used to control the mode as well as flow of voltage in the grid. The model has a controller which decides the flow of voltage to be regulated from the micro grid. This information has been communicated from the controller to the micro grid through the blockchain. The micro grid can identify the type of information from the signature of the blockchain data and the hash code. The model monitors the incoming voltage and finds set of microgrids to be switched to discharge mode and informed with the amount of voltage to be regulated from the microgrid. This information is hidden in the block of the chain. By receiving the blockchain, the microgrid would extract the data and decrypt the voltage level to be regulated for the current cycle. Similarly, to perform switching of the microgrid, the controller sends another blockchain which has information about the mode the microgrid to be work on at the current cycle. The proposed method improves the data security and performance of voltage regulation.
- Subjects :
- microgrid
blockchain
data security
smart grid
sbdsm
Environmental sciences
GE1-350
Subjects
Details
- Language :
- English, French
- ISSN :
- 22671242
- Volume :
- 540
- Database :
- Directory of Open Access Journals
- Journal :
- E3S Web of Conferences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.3868e385cb49495f893c3cadfb74d4b8
- Document Type :
- article
- Full Text :
- https://doi.org/10.1051/e3sconf/202454010035