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Optimal Control Strategy of Turbine Governor Parameters Based on Improved Beetle Antennae Search Algorithm

机译：基于改进甲虫天线搜索算法的汽轮机调速器参数的最优控制策略

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摘要

Aiming at the occurrence of long-term and ultra-low frequency oscillations in the hydropower network system, this paper derives the generalized turbine transfer function speed control system model including the flow factor Tpq based on the generalized turbine model, and analyzes the influence of Tpq and PID parameters on the ultra-low frequency damping of the hydraulic turbine governing system. In order to better suppress the ultra-low frequency oscillation caused by improper PID parameter settings, a comprehensive optimization objective function reflecting damping and turbine speed deviation index (ITAE) in ultra-low frequency band is established. Based on the fast and efficient optimization strategy of Beetle Antennae Search, an improved beetle antennae particle swarm optimization is constructed. In single-machine and multi-machine systems, the improved algorithm is compared with different optimization algorithms. The simulation results show that the improved algorithm can overcome the slow convergence speed and easily fall into local optimization problem, effectively improve the damping level of hydraulic turbine governing system in ultra-low frequency, and is more effective and superior than other optimization algorithms. It provides a new way of thinking and technical means to suppress the ultra-low frequency oscillation by optimizing the parameters of the speed control system.
机译：旨在在水电网络系统中发生长期和超低频率振荡的发生，本文得出了一种基于广义涡轮机模型的流量因子TPQ的广义涡轮传递函数速度控制系统模型，并分析了TPQ的影响液压涡轮机控制系统超低频率阻尼的PID参数。为了更好地抑制由PID参数设置不当引起的超低频率振荡，建立了在超低频带中反射阻尼和涡轮速度偏差指数（ITAE）的全面优化目标函数（ITAE）。基于甲虫天线搜索的快速有效优化策略，构建了改进的甲虫天线粒子群优化。在单机和多机系统中，将改进的算法与不同的优化算法进行比较。仿真结果表明，改进的算法可以克服慢的收敛速度，易于落入局部优化问题，有效地提高了超低频率下液压涡轮机控制系统的阻尼水平，比其他优化算法更有效且优于其他优化算法。它提供了一种新的思维方式和技术手段，通过优化速度控制系统的参数来抑制超低频率振荡。

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