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Power System Stabilizer Model Based on Fuzzy-PSO for Improving Power System Stability

机译:基于模糊PSO提高电力系统稳定性的电力系统稳定器模型

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This paper proposed a Power System Stabilizer model based on Fuzzy-PSO for improving power system stability. Power System Stabilizer (PSS) is a device that can be used to enhance the damping of power system during low frequency oscillations. In multi-machine power systems, the PSS parameter tuning is a complex exercise due to the presence of several poorly damped modes of oscillation. The problem is further being complicated by continuous varied in power system operating conditions. In order to enhance the performance of PSS, the combination of fuzzy logic and particle swarm optimization (PSO) method is used in this study. Simulations were carried out using several fault tests at transmission line on a two-area multi-machine power system. In this work, Delta w PSS and Delta Pa PSS has been used for comparison with the fuzzy-PSO PSS. The result shows that power transfer response using the fuzzy-PSO PSS is more robust than Delta w PSS and Delta Pa PSS, especially for three phase faults and phase to ground faults.
机译:本文提出了一种基于模糊PSO的电力系统稳定模型,提高电力系统稳定性。电力系统稳定器(PSS)是可用于在低频振荡期间增强电力系统的阻尼装置的装置。在多机动力系统中,由于存在多种振荡模式,PSS参数调谐是一种复杂的运动。通过在电力系统操作条件下连续变化,问题进一步复杂。为了提高PSS的性能,在本研究中使用了模糊逻辑和粒子群优化(PSO)方法的组合。在两区域多机动力系统上使用若干故障测试进行仿真。在这项工作中,Delta W PSS和Delta PSS已被用于与模糊PSO PSS进行比较。结果表明,使用模糊PSO PSS的功率传输响应比Delta W PSS和Delta PSS更强大,特别是对于三相故障和接地故障的相位。

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