Dynamic Equivalent Modeling of a Large Renewable Power Plant Using a Data-Driven Degree of Similarity Method

Dynamic Equivalent Modeling of a Large Renewable Power Plant Using a Data-Driven Degree of Similarity Method

This paper aims to develop a novel method for the dynamic equivalence of a renewable power plant, ultimately contributing to power system modeling and enhancing the integration of renewable energy sources. In order to address the challenge posed by clusters of renewable generation units during the e...

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Bibliographic Details
Main Authors: Mengjun Liao, Lin Zhu, Yonghao Hu, Yang Liu, Yue Wu, Leke Chen
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Energies
Subjects:
renewable power plants
dynamic equivalent
data-driven
degree of similarity
Online Access:https://www.mdpi.com/1996-1073/16/19/6934

Internet

https://www.mdpi.com/1996-1073/16/19/6934

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