Power system often experiences the problem of low-frequency electromechanical oscillations which leads the system to unstable condition. The problem can be corrected by implementing power system stabilizers (PSSs) in the excitation control system of alternator. This paper provides a novel and efficient approach to design an Improved Grasshopper Optimization Algorithm (IGOA)-based dual-input controller to damp the inter-area-mode power system oscillations. A three-fold optimization criterion has been formulated to calculate the optimum values of the controllers required for power system stability. The damping performance of the proposed controller is compared with conventional PSS and genetic algorithm-based controllers to validate the better performance of the proposed IGOA-based controller under various system loading conditions and disturbances.

中文翻译：

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一种新型的受自然启发的改进型 Grasshopper 优化调谐双输入控制器，用于增强互连系统的稳定性

电力系统经常遇到低频机电振荡问题，导致系统处于不稳定状态。该问题可以通过在交流发电机的励磁控制系统中实施电力系统稳定器 (PSS) 来解决。本文提供了一种新颖有效的方法来设计一种基于改进蚱蜢优化算法 (IGOA) 的双输入控制器，以抑制区域间模式电力系统的振荡。制定了三重优化准则来计算电力系统稳定所需的控制器的最佳值。将所提出的控制器的阻尼性能与传统的基于 PSS 和遗传算法的控制器进行比较，以验证所提出的基于 IGOA 的控制器在各种系统负载条件和扰动下的更好性能。