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首页> 外文期刊>Advances in Electrical and Electronic Engineering >Transient Stability Promotion by FACTS Controller Based on Adaptive Inertia Weight Particle Swarm Optimization Method
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Transient Stability Promotion by FACTS Controller Based on Adaptive Inertia Weight Particle Swarm Optimization Method

机译:基于自适应惯性权重粒子群优化方法的FACTS控制器暂态稳定提升

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This paper examines the influence of Static Synchronous Series Compensator (SSSC) on the oscillation damping control in the network. The performance of Flexible AC Transmission System (FACTS) controller highly depends upon its parameters and appropriate location in the network. A new Adaptive Inertia Weight Particle Swarm Optimization (AIWPSO) method is employed to design the parameters of the SSSC-base controller. In the proposed controller, the proper signal of the power system such as rotor angle is used as the feedback. AIWPSO technique has high flexibility and balanced mechanism for the local and global research. The proposed controller is compared with a Genetic Algorithm (GA) based controller that confirms the operation of the controller. To show the integrity of the proposed controller method, the achievement of the simulations is done out in a single-machine infinite-bus and multi-machine grid under multi turmoil.
机译:本文研究了静态同步串联补偿器(SSSC)对网络中振荡阻尼控制的影响。柔性交流传输系统(FACTS)控制器的性能在很大程度上取决于其参数和在网络中的适当位置。一种新的自适应惯性权重粒子群优化(AIWPSO)方法用于设计基于SSSC的控制器的参数。在提出的控制器中,将电力系统的适当信号(例如转子角度)用作反馈。 AIWPSO技术具有高度的灵活性和平衡的机制,可以进行本地和全球研究。将提出的控制器与基于遗传算法(GA)的控制器进行比较,以确认控制器的操作。为了显示所提出的控制器方法的完整性,在多动荡下的单机无限母线和多机网格中完成了仿真。

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