Optimal Parameter Tuning of Power Oscillation Damper by MHHO Algorithm

R. Devarapalli, B. Bhattacharyya
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引用次数: 17

Abstract

This paper describes the damping nature offered by power system stabilizer (PSS) and static synchronous compensator (STATCOM) under system perturbations. The parameters of the damping devices are obtained from the novel natural inspired Harris hawks algorithm (HHA). Further, the modified version of Harris hawks algorithm is proposed with logarithmic function for escaping energy of prey for better damping characteristics for the system states. The damping natured offered to the system states under perturbations and eigenvalues of the system are analyzed with the proposed technique. The system study is conducted for different loading conditions, and the proposed algorithm is compared with state-of-the-art algorithms, namely, grey wolf optimization, and moth flame optimization. The control action offered by STATCOM and PSS also investigated for the coordinated operation during different system operating conditions.
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基于MHHO算法的功率振荡阻尼器参数优化整定
本文研究了电力系统稳定器(PSS)和静态同步补偿器(STATCOM)在系统扰动下的阻尼特性。阻尼装置的参数由一种新颖的自然启发哈里斯鹰算法(HHA)获得。在此基础上,提出了改进的Harris hawks算法,并引入了猎物逃逸能量的对数函数,以获得更好的系统状态阻尼特性。利用该方法分析了扰动作用下系统状态的阻尼特性和系统的特征值。针对不同的加载条件进行了系统研究,并将提出的算法与目前最先进的算法灰狼优化、蛾焰优化进行了比较。研究了STATCOM和PSS在不同系统运行条件下的协同运行控制作用。
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