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Coordination of Synergetic Excitation Controller and SVC Damping Controller Using Particle Swarm Optimization

机译:基于粒子群算法的协同励磁控制器与SVC阻尼控制器协调

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This paper addresses the enhancement of power system stability by simultaneous tuning of synergetic excitation damping controller and SVC (static var compensator)-based damping control/ere. Each machine or generator is considered as a subsystem and its interaction with the remaining part of the system, the SVC inclusive, is modeled as a quadratic function of the active power delivered by the generator. Stable manifold is constructed for each excitation controller and based on that, an effective damping controller is derived. A lead-lag compensator is employed as a supplementary controller for the SVC. PSO (particle swarm optimization) algorithm is effectively utilized to simultaneously tune the parameters for the excitation damping controller(s) and the SVC supplementary controller. The coordination of the controllers effectively dampens the power angle oscillation and regulates the generator terminal voltage when a fault occurs. Simulation results are obtained by using the PAT (power analysis toolbox) for a SMIB (single machine infinite bus) system and a two area power system.
机译:本文通过同时调整协同励磁阻尼控制器和基于SVC(静态无功补偿器)的阻尼控制/误差来解决电力系统稳定性的问题。每台机器或发电机都被视为子系统,并且其与系统其余部分(包括SVC)的交互被建模为发电机提供的有功功率的二次函数。为每个励磁控制器构造一个稳定的歧管,并在此基础上得出一个有效的阻尼控制器。超前滞后补偿器用作SVC的辅助控制器。有效地利用PSO(粒子群优化)算法同时调整励磁阻尼控制器和SVC辅助控制器的参数。控制器的协调有效地抑制了功率角振荡,并在发生故障时调节发电机的端子电压。通过使用SMIB(单机无限总线)系统和两区域电源系统的PAT(功率分析工具箱)获得仿真结果。

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