|
|
|
| Optimization of Distribution Network Structure and Identification of Key Nodes and Lines Based on TOPSIS Method |
| LIN Siyu, WEN Juan, QU Xing, XIAO Qiankang
|
| School of Electrical Engineering, University of South China, Hengyang 421000, China |
|
|
|
|
Abstract To obtain a better topology and identify the key nodes and lines of distribution networks, this paper presents a multi-attribute method for optimizing network structure and identifying key nodes and lines. Firstly, multiple distribution network topologies are obtained by the branch-exchange algorithm. Secondly, the invulnerability indices are constructed based on complex network theory. Then, the improved TOPSIS method is used to find the optimal network. Finally, the importance indices are constructed to identify key nodes and lines. Taking the 33-bus and 69-bus systems as examples, it verified that the optimized distribution network has stronger anti-attack ability through random attack. Random attacks and deliberate attacks are used on the distribution network. The results show that the network parameters significantly decrease under deliberate attacks, which proves that this method can effectively identify the key nodes and lines.
|
|
Received: 27 October 2022
Published: 07 November 2024
|
|
|
|
|
|
|
|
|
