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以抽水蓄能机组启动过程为例，提出一种兼顾稳定与安全的多目标优化策略。首先，构建包含有压引水系统、调速器以及发电电动机组抽水蓄能机组非线性模型。其次，引入多目标改进混沌麻雀搜索优化算法(MOICSSA),该算法通过Tent混沌初始化与高斯变异机制提升全局搜索与收敛性能。并以转速误差积分、水压波动积分和轴向水推力为优化目标，探讨更优的启动方案。仿真结果表明，优化方法能有效缩短机组启机时间，并降低水力冲击与机械应力。所提优化框架实现了机电液耦合系统多目标协调，为抽水蓄能机组安全高效启动提供了理论与工程支撑。
Abstract：This paper investigates the startup process of pumped storage units(PSU) and proposes a multi-objective optimization control strategy that ensures both stability and safety. Firstly, a nonlinear model of the PSU is established, incorporating the pressurized water conveyance system, governor, and motor-generator. Subsequently, a multi-objective improved chaotic sparrow search algorithm(MOICSSA) is introduced, which enhances global search capability and convergence performance through Tent chaotic initialization and Gaussian mutation. Taking the integral of rotational speed error, the integral of water pressure fluctuation and the axial water thrust as the optimization objectives, a better starting scheme is explored. Simulation results demonstrate that the proposed strategy effectively shortens the time of PSU startup while reducing hydraulic shocks and mechanical stresses. Overall, the proposed optimization framework achieves multi-objective coordinated control of the electro-hydro-mechanical coupled system, providing both theoretical and engineering support for the safe and efficient startup of PSU.
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基本信息:
DOI：10.20040/j.cnki.1000-7709.2026.20251649
中图分类号:TV743;TV736
引用信息:
[1]高彦明,廖李成,杨小龙,等.基于MOICSSA的抽水蓄能机组启动过程智能优化研究[J].水电能源科学,2026,44(08):192-196+234.DOI:10.20040/j.cnki.1000-7709.2026.20251649.
2026-01-16
2026-01-16
2026-01-16