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首页> 外文期刊>American Journal of Engineering Research >Improvement of Transient stability in Power Systems with Neuro-Fuzzy UPFC
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Improvement of Transient stability in Power Systems with Neuro-Fuzzy UPFC

机译:使用神经模糊UPFC改善电力系统的暂态稳定性

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Low Frequency Oscillations (LFO) occur in power systems because of lack of the damping torque in order to dominance to power system disturbances as an example of change in mechanical input power. In the recent past Power System Stabilizer (PSS) was used to damp LFO. FACTs devices, such as Unified Power Flow Controller (UPFC), can control power flow, reduce sub-synchronous resonance and increase transient stability. So UPFC may be used to damp LFO instead of PSS. UPFC damps LFO through direct control of voltage and power. In this paper the linearized model of synchronous machine (Heffron-Philips) connected to infinite bus (Single Machine-Infinite Bus: SMIB) with UPFC is used and also in order to damp LFO, adaptive neuro-fuzzy controller for UPFC is designed and simulated. Simulation is performed for various types of loads and for different disturbances. Simulation results show good performance of neuro-fuzzy controller in damping LFO.
机译:由于缺少阻尼扭矩,因此在电力系统中发生低频振荡(LFO),从而可以控制电力系统的干扰,例如机械输入功率的变化。在最近的过去,电力系统稳定器(PSS)用于阻尼LFO。 FACTs设备(例如统一潮流控制器(UPFC))可以控制潮流,减少次同步谐振并提高瞬态稳定性。因此,UPFC可以用来阻尼LFO而不是PSS。 UPFC通过直接控制电压和功率来抑制LFO。本文使用带有UPFC的连接到无限总线(Single Machine-Infinite Bus:SMIB)的同步电机(Heffron-Philips)的线性化模型,并且为了抑制LFO,设计并仿真了UPFC的自适应神经模糊控制器。针对各种类型的负载和不同的干扰执行仿真。仿真结果表明,神经模糊控制器在抑制LFO方面具有良好的性能。

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