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Real Time Simulation of Observer Based State Feedback Load Frequency Regulator for Optimally Reduced Power System Model

机译:基于观测器的状态反馈负载频率调节器的最优仿真模型的实时仿真

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This paper presents a study of real time simulation of observer based state feedback load frequency regulator for optimally reduced order power system model. The actual system states can be replaced by the observer based states for feedback control design without losing the system stability. State space model of two area interconnected power system model having non-reheat thermal turbine in each area is investigated to develop the proposed control scheme. Moreover, the power system model is optimally reduced with the objective of retaining the dominant characteristics of original system and reducing the complexity and computational burden for the real time simulation of the proposed scheme. Real time simulation is performed on two PC configurations, out of which continuous and discrete time observer based scheme is designed and simulated in non-real time environment on host PC and target PC is used for real time simulation of continuous and discrete time models. It was found that discrete time observer based control scheme for reduced power system model is quite appreciable in terms of dynamic performance and computational burden as compared to continuous time observer based load frequency control for reduced power system model.
机译:本文提出了一种基于观测器的状态反馈负载频率调节器的实时仿真方法,用于最优降阶电力系统模型。实际的系统状态可以由基于观察者的状态代替,以进行反馈控制设计,而不会失去系统的稳定性。研究了在每个区域都具有非再热式热轮机的两区域互联电力系统模型的状态空间模型,以开发提出的控制方案。此外,以保留原始系统的主导特性并减少所提出方案的实时仿真的复杂度和减少计算负担为目标,优化了电力系统模型。在两种PC配置上执行实时仿真,其中在非实时环境中在主机PC上设计并仿真了基于连续和离散时间观察者的方案,并在目标PC上对连续和离散时间模型进行了实时仿真。已经发现,与基于连续时间观察者的减少功率系统模型的负载频率控制相比,基于离散时间观察者的减少功率系统模型的控制方案在动态性能和计算负担方面相当可观。

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