Suppression and Analysis of Low-Frequency Oscillation in Hydropower Unit Regulation Systems with Complex Water Diversion Systems

Zhao Liu, Zhenwu Yan, Hongwei Zhang, Huiping Xie, Yidong Zou (), Yang Zheng, Zhihuai Xiao and Fei Chen
Additional contact information
Zhao Liu: Xiangjiaba Hydropower Plant, China Yangtze Power Co., Ltd., Yibin 644612, China
Zhenwu Yan: Xiangjiaba Hydropower Plant, China Yangtze Power Co., Ltd., Yibin 644612, China
Hongwei Zhang: Xiangjiaba Hydropower Plant, China Yangtze Power Co., Ltd., Yibin 644612, China
Huiping Xie: Xiangjiaba Hydropower Plant, China Yangtze Power Co., Ltd., Yibin 644612, China
Yidong Zou: School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China
Yang Zheng: School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China
Zhihuai Xiao: School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China
Fei Chen: School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China

Energies, 2024, vol. 17, issue 19, 1-29

Abstract: Low-frequency oscillation (LFO) poses significant challenges to the dynamic performance of hydropower unit regulation systems (HURS) in hydropower units sharing a tailwater system. Previous methods have struggled to effectively suppress LFO, due to limitations in governor parameter optimization strategies. To address this issue, this paper proposes a governor parameter optimization strategy based on the crayfish optimization algorithm (COA). Considering the actual water diversion layout (WDL) of a HURS, a comprehensive mathematical model of the WDL is constructed and, combined with models of the governor, turbine, and generator, an overall HURS model for the shared tailwater system is derived. By utilizing the efficient optimization performance of the COA, the optimal PID parameters for the HURS controller are quickly obtained, providing robust support for PID parameter tuning. Simulation results showed that the proposed strategy effectively suppressed LFOs and significantly enhanced the dynamic performance of the HURS under grid-connected conditions. Specifically, compared to before optimization, the optimized system reduced the oscillation amplitude by at least 30% and improved the stabilization time by at least 25%. Additionally, the impact of the power grid system parameters on oscillations was studied, providing guidance for the optimization and tuning of specific system parameters.

Keywords: hydropower unit; low-frequency oscillation; PID-parameter optimization; system parameters (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/19/4831/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/19/4831/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:19:p:4831-:d:1486651

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().