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首页> 外文期刊>International Journal of Energy Optimization and Engineering: An official publication of the Information Resources Management Association >Optimal Design of Modified Power System Stabilizer Using Multi Objective Based Bio Inspired Algorithms
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Optimal Design of Modified Power System Stabilizer Using Multi Objective Based Bio Inspired Algorithms

机译:使用多目标BIO启发算法改进电力系统稳定器的最优设计

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In this article, a multi objective and a novel objective based Power System Stabilizer (PSS) design is proposed for a modified Heffron - Philiphs model (MHP) using bio inspired algorithms. A conventional Heffron – Philphs (CHP) model is developed by taking infinite bus voltage as reference, whereas MHP model is developed by taking transformer high voltage bus voltage as reference, which makes independent of external system data for the PSS design. PSS parameters are optimized using differential evolution (DE) algorithm and Firefly (FF) algorithm to obtain better dynamic response. The proposed method is tested on various operating conditions under different typical disturbances to test efficacy and robustness. Simulation results prove that better dynamic performance is obtained with the proposed stabilizers over the fixed gain stabilizers. This method of tuning would become a better alternative to conventional stabilizers as conventional stabilizers require retuning of parameters mostly when operating condition changes, which is a time-consuming process and laborious. Eigen value analysis is also done to prove the efficacy of the proposed method over the conventional methods.
机译:在本文中,使用BIO Inspired算法提出了一种多目标和基于新的基于物理的电力系统稳定器(PSS)设计。通过采用无限的总线电压作为参考,开发了传统的Heffron - 菲尔菲尔夫斯(CHP)模型,而MHP模型是通过将变压器高压总线电压作为参考而开发的,这与PSS设计的外部系统数据无关。 PSS参数使用差分演进(DE)算法和萤火虫(FF)算法进行优化,以获得更好的动态响应。在不同典型障碍下的各种操作条件下测试所提出的方法,以测试效力和鲁棒性。仿真结果证明,在固定增益稳定器上用所提出的稳定器获得更好的动态性能。这种调谐方法将成为传统稳定剂的更好的替代,因为传统的稳定器主要在运行条件发生变化时重新定位,这是一种耗时的过程和费力。还进行了特征值分析以证明所提出的方法对常规方法的功效。

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