ABSTRACT

This article proposes an optimal approach of improving the dynamic stability in power system by using hybrid method based power system-stabiliser. The proposed hybrid approach is an integration of Owl Search algorithm (OSA) and Improved Grey Wolf Optimizer (IGWO); hence, it is known as OSA-IGWO method. The objective of the proposed method is to enhance the power system’s dynamic stability. This notion offers a singular approach to design the sturdy Power System Stabiliser (PSS) and enhance the dynamic energy machine balance. The Modified Heffron-Phillip’s version can be evolved through generator facet transformer voltage because endless bus voltage and connection are considered to lessen the complexity with computational time. An energy machine stabiliser is referred to as Modified Power System Stabiliser (MPSS) that can be evolved and incorporated with PID controller; the usage of proposed approach in a Single-Machine-Infinity Bus-System uses Modified Heffron-Phillips (MHP) version. The OSA-IGWO approach may be used to select the benefit sets of PID-MPSS. The proposed version complements the dynamic overall performance of machine via the way of means of growing the damping ratio of the energy machine below diverse running conditions. The OSA-IGWO method is done in MATLABplatform, and its performance is compared with existing methods.

摘要

本文提出了一种利用基于混合方法的电力系统稳定器来提高电力系统动态稳定性的优化方法。所提出的混合方法是猫头鹰搜索算法（OSA）和改进的灰狼优化器（IGWO）的集成；因此，它被称为 OSA-IGWO 方法。该方法的目的是增强电力系统的动态稳定性。这一概念提供了一种独特的方法来设计坚固的电力系统稳定器（PSS）并增强动态能量机器平衡。修改后的 Heffron-Phillip 版本可以通过发电机面变压器电压进行演变，因为无限的总线电压和连接被认为可以减少计算时间的复杂性。能源机械稳定器称为改进型电力系统稳定器（MPSS），可以与PID控制器一起发展并结合；在单机无限总线系统中使用所提出的方法使用修改的 Heffron-Phillips (MHP) 版本。OSA-IGWO方法可用于选择PID-MPSS的利益集。所提出的版本通过在不同的运行条件下增加能量机器的阻尼比的方式补充了机器的动态整体性能。OSA-IGWO方法在MATLAB平台上完成，并与现有方法进行了性能比较。所提出的版本通过在不同的运行条件下增加能量机器的阻尼比的方式补充了机器的动态整体性能。OSA-IGWO方法在MATLAB平台上完成，并与现有方法进行了性能比较。所提出的版本通过在不同的运行条件下增加能量机器的阻尼比的方式补充了机器的动态整体性能。OSA-IGWO方法在MATLAB平台上完成，并与现有方法进行了性能比较。