Research Article
Network Recovery for Large-Scale Failures in Smart Grid by Simulation
@INPROCEEDINGS{10.1007/978-3-030-32216-8_46, author={Huibin Jia and Hongda Zheng and Yonghe Gai and Dongfang Xu}, title={Network Recovery for Large-Scale Failures in Smart Grid by Simulation}, proceedings={Simulation Tools and Techniques. 11th International Conference, SIMUtools 2019, Chengdu, China, July 8--10, 2019, Proceedings}, proceedings_a={SIMUTOOLS}, year={2019}, month={10}, keywords={Network recovery Smart grid Large-scale failures Simulation}, doi={10.1007/978-3-030-32216-8_46} }- Huibin Jia
Hongda Zheng
Yonghe Gai
Dongfang Xu
Year: 2019
Network Recovery for Large-Scale Failures in Smart Grid by Simulation
SIMUTOOLS
Springer
DOI: 10.1007/978-3-030-32216-8_46
Abstract
Large-scale natural disaster or malicious attacks could cause serious damage to the power communication network in smart grid. If the damaged network cannot be repaired timely, great threat will be brought to the secure and stable operation of power grid. Therefore, an importance-based recovery method for large-scale failure has been proposed in smart grid by simulation. Firstly, the link importance for the whole network is calculated according to the solution of the link importance for the services type and the importance of services type for the power communication network. Secondly, a fault recovery model with the sum of the importance of each fault link has been established to recover more important communication services under the condition of limited resources. Finally, we propose a heuristic algorithm to reduce the expenditure of time, and then compare the results of the model with the 0–1 integer programming method to verify the feasibility of the method. The experimental results show that the links which carry high-priority can get priority to be repaired in the paper, thus it ensures the safe and stable operation of power communication network.
