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首页> 外文期刊>IEEE Transactions on Industry Applications >Discrete Data AGC of Hydrothermal Systems Under Varying Turbine Time Constants Along With the Power System Loading Conditions
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Discrete Data AGC of Hydrothermal Systems Under Varying Turbine Time Constants Along With the Power System Loading Conditions

机译：汽轮机时间常数和电力系统负荷条件下水热系统离散数据AGC

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The paper deals with the discrete data automatic generation control (AGC) of two area hydrothermal power system operating at different loading conditions. The power system load varies considerably throughout the day and accordingly, thermal and hydropower systems are scheduled to operate at different loading conditions. It is found that steam as well as hydro turbine time constants vary as the power system loading varies. In earlier AGC studies, these parameters are considered to be constant, irrespective of power system loadings. This paper studies the dynamic performance of hydrothermal power system considering the variation of these turbine time constants along with the nominal loading of power system. The studies have been conducted for linear as well as nonlinear models of speed governor and hydroturbine models recommended by the IEEE committee. It is also discovered that conventional empirical formula-based hydraulic governor settings recommended by the IEEE working group are completely unacceptable for hydrothermal power system. A maiden attempt is made to optimize the hydraulic governor settings simultaneously along with the controller gains using metaheuristic algorithm. The comparison of system dynamic responses reveal that optimization-based hydrogovernor settings give the better dynamic performance in case of linear as well as nonlinear models of hydro system, and therefore are strongly recommended over the conventional settings. The paper also deals with the optimum selection of sampling periods for discrete data AGC operation of hydrothermal systems.
机译：本文研究了在不同负荷条件下运行的两区域水火发电系统的离散数据自动发电控制（AGC）。电力系统负载全天变化很大，因此，火电和水力发电系统计划在不同的负载条件下运行。发现蒸汽以及水轮机的时间常数随着电力系统负荷的变化而变化。在较早的AGC研究中，这些参数被认为是恒定的，而与电力系统的负载无关。本文研究了水力发电系统的动态性能，并考虑了这些涡轮机时间常数随额定功率的变化。已经针对IEEE委员会推荐的调速器的线性和非线性模型以及水轮机模型进行了研究。还发现IEEE工作组推荐的基于经验公式的常规液压调速器设置对于水热发电系统是完全不可接受的。尝试使用超启发式算法同时优化液压调速器设置和控制器增益。系统动力响应的比较表明，在水力系统的线性和非线性模型的情况下，基于优化的水力调节器设置具有更好的动态性能，因此强烈建议在常规设置上使用。本文还讨论了热液系统离散数据AGC操作的采样周期的最佳选择。

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