变工况下混流式水轮发电机调速器参数适配性及优化调控研究

王海志

现代工业与技术 ›› 2025, Vol. 2 ›› Issue (9) : 37 -39.

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现代工业与技术 ›› 2025, Vol. 2 ›› Issue (9) : 37 -39. DOI: 10.12349/mit.v2i9.9135

变工况下混流式水轮发电机调速器参数适配性及优化调控研究

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Research on Parameter Adaptability and Optimization Control of Variable-Speed Regulators for Mixed-Flow Hydro-Turbine Generators under Variable Operating Conditions

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摘要

混流式水轮发电机是中低水头水电站的关键设备,其运行稳定性直接影响水能利用率与电网调频性能。在变工况条件下,水头与流量变化复杂,传统固定参数调速器难以兼顾动态响应与稳态精度,易引发机组振荡与效率损失。本文基于混流式机组的非线性动力特性,构建机组—调速系统数学模型,分析参数变化对系统稳定性的影响,并引入自适应控制与智能优化算法,实现参数的实时整定与动态补偿。研究表明,多参数协同优化能有效缩短响应时间、降低超调量并抑制振荡,显著提升系统的鲁棒性与调节精度。该成果为混流式水轮机调速系统的智能化、数字化与高效运行提供了理论依据与技术路径。

Abstract

As critical equipment in medium-low head hydropower stations, mixed-flow hydro-turbine generators directly impact hydropower utilization efficiency and grid frequency regulation performance through operational stability. Under variable operating conditions, complex variations in head and flow rate challenge traditional fixed-parameter regulators to balance dynamic response and steady-state accuracy, often leading to unit oscillations and efficiency losses. Based on the nonlinear dynamic characteristics of mixed-flow units, this study establishes a mathematical model of the unit-regulator system, analyzes parameter variations’ effects on system stability, and introduces adaptive control and intelligent optimization algorithms to achieve real-time parameter tuning and dynamic compensation. The research demonstrates that multi-parameter collaborative optimization effectively reduces response time, minimizes overshoot, suppresses oscillations, and significantly enhances system robustness and regulation precision. These findings provide theoretical foundations and technical pathways for intelligent, digitalized, and efficient operation of mixed-flow hydro-turbine speed regulation systems.

关键词

混流式水轮发电机 / 变工况 / 调速器

Key words

mixed-flow hydro-generator / variable operating conditions / gove

引用本文

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王海志. 变工况下混流式水轮发电机调速器参数适配性及优化调控研究[J]. 现代工业与技术, 2025, 2(9): 37-39 DOI:10.12349/mit.v2i9.9135

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参考文献

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