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Research on Cascading Faults of Hybrid Point-to-Point Power Information Network Based on Blockchain
Fengping HOU, Yanli ZOU, Tanghuimei LIU, Zhiwei WANG, Shuyi TAN
Chinese Journal of Computational Physics    2023, 40 (5): 633-642.   DOI: 10.19596/j.cnki.1001-246x.8637
Abstract141)   HTML4)    PDF (8456KB)(565)      

By dividing the community of the power grid, the information network community is divided according to the current situation and the actual coupling relationship of the corresponding hierarchical partition construction of the power grid and the information network, and the node with the largest betweenness and the node with the largest degree of each community in the information network is selected for full connection. The power information interdependence network model based on the hybrid point-to-point structure of the blockchain, combined with the consensus mechanism of the blockchain, analyzes the advantages of the model, and uses the two attack strategies of high number attack and high betweenness attack to study the proposed interdependence The robustness of the network is compared with the traditional centralized control power information network and the fully decentralized point-to-point power information network. The research results show that the hybrid point-to-point power information interdependence network model can effectively reduce the communication overhead and consensus delay of the practical Byzantine fault-tolerant algorithm on the basis of improving the robustness of the network. In the hybrid peer-to-peer power information network, the system shows stronger vulnerability under the high-number attack mode.

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Coupling Strength Allocation Strategy in Power Grids Based on Complex Network Theory
Zheng GAO, Yanli ZOU, Junwan HU, Gaohua YAO, Tanghuimei LIU
Chinese Journal of Computational Physics    2022, 39 (5): 579-588.   DOI: 10.19596/j.cnki.1001-246x.8500
Abstract245)   HTML8)    PDF (10062KB)(1018)      

To explore allocation strategy of network coupling strength for improving performance of power grids, we analyze synchronizability of power grids by using critical synchronization coupling strength, and compare robustness of power grids by imposing disturbance power on network nodes. It is found that local topological structure and power of nodes in power grids restrict the local synchronizability of nodes. In general, the greater the power and the smaller the degree value of the node, the weaker its local synchronizability is. And it is more difficult for the node to reach a local synchronization state with its neighbors. Based on this, a non-uniform distribution strategy of network coupling strength is proposed. Keep the total coupling strength the same, we increase the coupling strength between nodes with weak local synchronizability, and reduce the coupling strength between nodes with strong local synchronizability. It shows that this method optimizes synchronizability of the network and enhance robust performance of power grids to a certain extent.

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