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New coordinated design of SVC and PSS for multi-machine power system using BF-PSO algorithm

机译:基于BF-PSO算法的多机电力系统SVC和PSS的新协调设计

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摘要

Nowadays, flexible AC transmission system (FACTS) devices are increasingly used in power systems. They have remarkable effects on increasing the damping of the system. In this paper, a bacterial-foraging oriented by particle swarm optimization (BF- PSO) algorithm is employed to design the coordinated parameters of power system stabilizer (PSS) and static VAR compensator (SVC). With regard to nonlinearities of power system, linear methods can’t be used to design coordinated parameters of controllers. In this paper, nonlinear model of power system and SVC is used to design parameters of PSS and SVC. For this purpose, this design problem is firstly converted to an optimization problem and then the BF-PSO algorithm is used to solve it. Simulations are carried out on four machine 11 bus power system in MATLAB software. The results confirm the efficiency of the proposed method for stabilizing the power system oscillations. Comparing BF-PSO algorithm with other intelligent methods, (PSO, BFA) verifies better performance of the BF-PSO method.
机译:如今,柔性交流输电系统(FACTS)设备越来越多地用于电力系统中。它们对增加系统的阻尼具有显著作用。本文采用面向粒子群优化算法(BF-PSO)的细菌觅食设计电力系统稳定器(PSS)和静态无功补偿器(SVC)的协调参数。关于电力系统的非线性,线性方法不能用于设计控制器的协调参数。本文采用电力系统和SVC的非线性模型来设计PSS和SVC的参数。为此,首先将该设计问题转换为优化问题,然后使用BF-PSO算法对其进行求解。在MATLAB软件中的四机11总线电源系统上进行了仿真。结果证实了所提出的用于稳定电力系统振荡的方法的效率。将BF-PSO算法与其他智能方法(PSO,BFA)进行比较,可以验证BF-PSO方法的更好性能。

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