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首页> 外文期刊>Latin America transactions >Simultaneous Tuning of AVR and PSS Using Particle Swarm Optimization with Two Stages
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Simultaneous Tuning of AVR and PSS Using Particle Swarm Optimization with Two Stages

机译:使用粒子群优化与两个阶段同时调整AVR和PSS

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摘要

This work presents a new method for simultaneous adjustment of automatic voltage regulator (AVR) and power system stabilizer (PSS) parameters to control voltage oscillations and damping in a synchronous generator using the particle swarm optimization algorithm (PSO) with two stages. The increment of a new stage aims to improve the efficiency of the PSO method, providing a better performance of the system. The algorithm was developed in Matlab software and used for the linearized 3-order model of a synchronous generator connected to an infinite bus. To analyze the performance of the controllers an objective function was used based on the system time response to a change in the reference voltage. The results were compared with the values found by the classical design method of the conventional tuning technique.
机译:这项工作提出了一种用于同时调整自动电压调节器(AVR)和电力系统稳定器(PSS)参数的新方法,以控制电压振荡,并使用具有两个阶段的粒子群优化算法(PSO)在同步发电机中阻尼。新阶段的增量旨在提高PSO方法的效率,为系统提供更好的性能。该算法在MATLAB软件中开发,用于连接到无限总线的同步发电机的线性化3阶模型。为了分析控制器的性能,基于对参考电压的变化的系统时间响应使用目标函数。将结果与传统调谐技术的经典设计方法发现的值进行比较。

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