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Enhanced Density Peak-Based Power Grid Reactive Voltage Partitioning by Xingye Deng; Canwei Liu; Hualiang Liu; Lei Chen; Yuyan Guo; Heding Zhen is a Engineering article available to read on EtoBox.

What is Enhanced Density Peak-Based Power Grid Reactive Voltage Partitioning about?

Clustering-based reactive voltage partitioning is successful in reducing grid cascading faults, by using clustering methods to categorize different power-consuming entities in the power grid into distinct regions. In reality, each power-consuming entity has different electrical characteristics. Additionally, due to the irregular and uneven distribution of the population, the distribution of electricity consumption is also irregular and uneven. However, the existing method neglects the electrical difference among each entity and the irregular and uneven density distribution of electricity consumption, resulting in poor accuracy and adaptability of these methods. To address these problems, an enhanced density peak model-based power grid reactive voltage partitioning method is proposed in this paper, called EDPVP. First, the power grid is modeled as a weighted reactive network to consider entity electrical differences. Second, the novel local density and density following distance are designed to enhance the density peak model to address the problem that the traditional density peak model cannot adapt to weighted networks. Finally, the enhanced density peak model is further equipped w

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Author

Xingye Deng; Canwei Liu; Hualiang Liu; Lei Chen; Yuyan Guo; Heding Zhen

Publisher

MDPI AG

Published

2023

Language

EN

Field

Engineering (Physical Sciences)