DOAJ Open Access 2023

TrendRank method for evaluating the importance of power grid nodes considering information network

Qingyu Su Cong Chen Jian Li

Abstrak

Abstract To ensure the stable operation of power systems, critical nodes need to be identified for key protection. The LeaderRank algorithm is a fast and accurate algorithm for identifying key nodes, but it has obvious inappropriateness when targeting the power system. For this reason, this paper considers the scheduling function of the information network and the power flow betweenness of the power grid. A TrendRank algorithm is proposed to identify key nodes in complex power grids. TrendRank values can be computed iteratively by a weighted distribution strategy of internally linked nodes and then ranked. The performance of the TrendRank method has been fully tested and benchmarked on IEEE39 and IEEE118. The comparison of four performance metrics fully validates the effectiveness and superiority of the method. The TrendRank algorithm provides an idea in protecting the power system, which makes the economic cost of protecting the power system lower.

Topik & Kata Kunci

Distribution or transmission of electric power Production of electric energy or power. Powerplants. Central stations

Penulis (3)

Qingyu Su

Cong Chen

Jian Li

Format Sitasi

APA MLA BibTeX

Su, Q., Chen, C., Li, J. (2023). TrendRank method for evaluating the importance of power grid nodes considering information network. https://doi.org/10.1049/gtd2.12454

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Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.1049/gtd2.12454
Akses: Open Access ✓