Optimization of Hydropower Unit Startup Process Based on the Improved Multi-Objective Particle Swarm Optimization Algorithm

In order to improve the dynamic performance during the startup process of hydropower units, while considering the efficient and stable speed increase and effective suppression of water pressure fluctuations and mechanical vibrations, optimization algorithms must be used to select the optimal paramet...

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Bibliographic Details

Published in:	Energies (Basel) Vol. 17; no. 17; p. 4473
Main Authors:	Zhang, Qingquan, Xie, Zifeng, Lu, Mingming, Ji, Shengyang, Liu, Dong, Xiao, Zhihuai
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2024
Subjects:	Computer simulation Control algorithms Controllers Energy consumption Hydroelectric power improved multi–objective particle swarm optimization algorithm Optimization algorithms Pareto front Power supply startup transient process turbine nonlinear model Turbines
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
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