Robustness Improvement Strategy of Complex Power Network Based on Fractal Mechanism
- Resource Type
- Conference
- Authors
- Chen, Zhipeng; Ying, Ming; Xie, Ning; Wang, Chengmin; Qian, Zhenyu
- Source
- 2020 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2020 12th IEEE. :1-5 Sep, 2020
- Subject
- Power, Energy and Industry Applications
Substations
Power system protection
Complex networks
Robustness
Fractals
Power grids
Planning
complex network
fractal
robustness
network reconstruction
edge betweenness
maximal weight spanning tree
- Language
Complexity of power network increased is for that the scale and interconnectedness of power network are constantly expanding. It is particularly important to analyze network robustness and provide improvement strategies. The node gravity index was defined, and four intentional attack modes were designed to evaluate the robustness of complex networks. Based on the study of fractal mechanism, a strategy for reconstructing topology of complex networks based on maximum edge betweenness weight spanning tree was proposed, and its effectiveness and economy in improving robustness were verified by several examples.