Title: Research on power system stability evaluation based on grey correlation support

Authors: Kai Zhang; Yongyan Xu

Addresses: School of Physics and Telecommunication Engineering, Zhoukou Normal University, Zhoukou City, Henan Province, China; Faculty of Engineering, Mahasarakham University, Kantharawichai, Maha Sarakham, Thailand ' School of Chemistry & Chemical Engineering, Zhoukou Normal University, Zhoukou City, Henan Province, China

Abstract: The promotion of wind power generation can effectively optimise China's energy structure and promote the sustainable development of economy and society. However, the application and promotion of wind power will bring a new problem, that is, it increases the complexity of power system structure and poses a certain hidden danger to the security of power grid. Therefore, Kuramoto model is used to analyse the transient stability of power system, and a comprehensive evaluation system of power system stability is constructed from the two directions of static security and dynamic security. Finally, based on grey correlation analysis, a comprehensive evaluation model (GRA) of power system stability is constructed. The results show that the accuracy of the evaluation model reaches 97.5%. Therefore, the evaluation model can evaluate the stability of power system efficiently and accurately, and avoid large-scale blackouts caused by power system collapse.

Keywords: grey correlation analysis; wind power; power system; stability; Kuramoto model.

DOI: 10.1504/IJWMC.2023.131326

International Journal of Wireless and Mobile Computing, 2023 Vol.24 No.3/4, pp.361 - 369

Received: 13 May 2022
Received in revised form: 07 Dec 2022
Accepted: 24 Dec 2022
Published online: 06 Jun 2023 *

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