| Title |
Random Violation Risk Degree Based Service Channel Routing Mechanism in Smart Grid |
| ID_Doc |
32693 |
| Authors |
Shao, SJ; Zeng, QT; Guo, SY; Qiu, XS |
| Title |
Random Violation Risk Degree Based Service Channel Routing Mechanism in Smart Grid |
| Year |
2018 |
| Published |
Energies, 11, 11 |
| DOI |
10.3390/en11112871 |
| Abstract |
Smart gird, integrated power network with communication network, has brought an innovation of traditional power for future green energy. Optical fiber technology and synchronous digital hierarchy (SDH) technology is widely used in smart grid communication transmission network. It is a challenge to reduce impact of the availability of smart grid communication services caused by random failures and random time to repair. Firstly, we create a service channel violation risk degree (SCVRD) model to precisely track the violation risk change of communication service channel. It is denoted by the probability of service channel cumulative failure duration exceeding the prescribed duration. Secondly, a service channel violation risk degree routing mechanism is proposed to improve the availability of communication service. At last, the simulation is implemented with MATLAB and network data in one province are used as data instance. The simulation results show that the average service channel failure rate of availability-aware routing based on statistics (AAR-OS) algorithm and risk-aware provisioning algorithm are reduced by 15% and 6%, respectively. |
| Author Keywords |
violation risk degree; routing mechanism; smart grid |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000451814000009 |
| WoS Category |
Energy & Fuels |
| Research Area |
Energy & Fuels |
| PDF |
https://www.mdpi.com/1996-1073/11/11/2871/pdf?version=1540519755
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