A Snake Optimization Algorithm-Based Power System Inertia Estimation Method Considering the Effects of Transient Frequency and Voltage Changes

Autor:	Yanzhen Pang, Feng Li, Haiya Qian, Xiaofeng Liu, Yunting Yao
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	inertia estimation swing equation inertia time constant snake optimization algorithm Technology
Zdroj:	Energies, Vol 17, Iss 17, p 4430 (2024)
Druh dokumentu:	article
ISSN:	17174430 1996-1073
DOI:	10.3390/en17174430
Popis:	Inertia is the measure of a power system’s ability to resist power interference. The accurate estimation and prediction of inertia are crucial for the safe operation of the power system. To obtain the accurate power system inertia provided by generators, this paper proposes an estimation method considering the influence of frequency and voltage characteristics on the power deficit during transients. Specifically, the traditional swing equations-based inertia estimation model is improved by embedding linearized frequency and voltage factors. On this basis, the snake optimization algorithm is utilized to identify the power system inertia constant due to its strong global search ability and fast convergence speed. Finally, the proposed inertia estimation method is validated in four test systems, and the results show the effectiveness of the proposed method.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/f61bdfbfccbe4c528976ea3e73abe86b Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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