基于神经模糊滑模控制的广域电力系统暂态稳定器

2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies Pub Date : 2021-03-05 DOI:10.1109/ICEPE50861.2021.9404430

S. R. Paital, P. Ray, A. Mohanty, G. Panda

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引用次数: 2

摘要

本文提出了一种基于自适应神经模糊滑模控制的电力系统稳定器(ANFSMC-PSS)，其目的是使电力系统中由于干扰引起的低频振荡(LFOs)最小化。提出的ANFSMC-PSS是滑模控制(SMC)和神经模糊系统(NFS)的结合，以提高电力系统的稳定性。在这里，稳定性通过李亚普诺夫判据得到保证。提出的ASMT2NF-PSS将pmu提供的本地信号(速度偏差)和远程信号(加速功率)作为输入信号，并在各种干扰条件下的单机无限总线(SMIB)和多机电源系统(MMPS)中对其有效性进行了研究。仿真结果清楚地表明，在不同的干扰条件下，与基于模糊滑模控制的PSS (FSMC-PSS)、基于滑模控制的PSS (FSMC-PSS)和传统的基于前导滞后的PSS (CPSS)相比，所提出的ANFSMC-PSS具有更好的减振性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Neuro-Fuzzy Sliding Mode Control based Wide Area Power System Stabilizer For Transient Stability Improvement

This article proposes an adaptive neuro-fuzzy sliding mode control based power system stabilizer (ANFSMC-PSS) with an aim to minimize low frequency oscillations (LFOs) arising due to disturbances in the power system. The proposed ANFSMC-PSS is a combination of sliding mode control (SMC) and neuro fuzzy system (NFS) to enhance stability of power system. Here, stability is assured through Lyapunov criterion. The proposed ASMT2NF-PSS considers both local signal (speed deviation) and remote signal (accelerating power) provided by PMUs as input signals and its efficacy is investigated in both single machine infinite bus (SMIB) and multimachine power system (MMPS) under various disturbance conditions. The simulation results clearly shows that the proposed ANFSMC-PSS gives superior oscillation damping performance as compared to that of fuzzy sliding mode control based PSS (FSMC-PSS), sliding mode control based PSS (FSMC-PSS) and conventional lead-lag based PSS (CPSS) under different disturbance conditions.

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2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies

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