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Low-frequency oscillation damping in the electric network through the optimal design of UPFC coordinated PSS employing MGGP

机译:通过MGGP的最佳设计,通过UPFC协调PSS的最佳设计阻尼电网低频振荡阻尼

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The coordination of flexible AC transmission systems (FACTS) with power system stabilizers (PSS) can significantly enhance the overall network stability by damping out the low-frequency oscillations (LFO). This paper proposes a multi-gene genetic programming (MGGP) approach to optimize PSS parameters coordinated with unified power flow controller (UPFC) to enhance power system stability by damping out LFO. The obtained results (minimum damping ratio, eigenvalues and time domain simulations) of the proposed MGGP approach are compared with the results of the conventional fixed gain model, the single-gene genetic programming (SGGP) approach and the referenced work to inquire the efficacy of the proposed approach for various operating conditions of the considered electric network. Besides, the acceptable values of standard statistical performance measures in estimating UPFC-PSS parameters provide confidence on the evolved MGGP models. Furthermore, the proposed approach requires a minimal time (similar to less than a cycle) to estimate the key parameters that signal the real-time application of the proposed technique. (C) 2019 Elsevier Ltd. All rights reserved.
机译:通过电力系统稳定器(PSS)的柔性交流传输系统(事实)的协调可以通过阻尼低频振荡(LFO)来显着提高整体网络稳定性。本文提出了一种多基因遗传编程(MGGP)方法来优化与统一电力流量控制器(UPFC)协调的PSS参数,以通过阻尼LFO来增强电力系统稳定性。将所得的MGGP方法的所得结果(最小阻尼比,特征值和时域和时域模拟)与传统固定增益模型的结果进行比较,单基因遗传编程(SGCP)方法和参考工作来查询疗效所考虑的电网各种操作条件的提出方法。此外,标准统计性能措施的可接受值在估计UPFC-PSS参数时提供了对演进的MGGP模型的信心。此外,所提出的方法需要最小的时间(类似于小于一个循环)来估计信号的关键参数,其发出所提出的技术的实时应用。 (c)2019年elestvier有限公司保留所有权利。

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