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A genetic algorithm optimized fuzzy logic controller for UPFC in order to damp of low frequency oscillations in power systems

机译:遗传算法优化UPFC的模糊逻辑控制器,以抑制电力系统中的低频振荡

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Due to the lack of damping torque, power system disturbances such as step changes in input mechanical power, may lead to Low Frequency Oscillations (LFO). Power System Stabilizer (PSS) is a solution that has been used for many years in order to mitigate these oscillations. Flexible AC Transmission Systems (FACTs) is another solution for this problem. Among the FACTs devices, Unified Power Flow Controller (UPFC) has an excellent ability to control power flow, reduce sub-synchronous resonance, and increase transient and dynamic stability and therefore, may be used instead of PSS. In this paper, a Genetic Algorithm Optimized Fuzzy Logic Controller (GA-FLC) is used to control UPFC for damping low frequency oscillations. This study is applied to a single-machine infinite-bus (SMIB) PhillipsHeffron model by using MATLAB/ Simulink software. Simulation results explicitly show that the performance of the proposed GA-FLC Based UPFC is better than using PSS and a PI controlled UPFC in terms of damping LFO.
机译:由于缺少阻尼扭矩,电源系统的干扰(例如输入机械功率的阶跃变化)可能会导致低频振荡(LFO)。电力系统稳定器(PSS)是一种已使用多年的解决方案,目的是减轻这些波动。柔性交流输电系统(FACT)是解决此问题的另一种方法。在FACTs设备中,统一潮流控制器(UPFC)具有出色的控制潮流,减少次同步谐振,提高瞬态和动态稳定性的能力,因此可以代替PSS使用。在本文中,使用遗传算法优化的模糊逻辑控制器(GA-FLC)来控制UPFC以阻尼低频振荡。通过使用MATLAB / Simulink软件,将这项研究应用于单机无限总线(SMIB)PhillipsHeffron模型。仿真结果明确表明,在阻尼LFO方面,所提出的基于GA-FLC的UPFC的性能优于使用PSS和PI控制的UPFC。

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