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首页> 外文期刊>Research journal of applied science, engineering and technology >Optimal Design of STATCOM Based OFD Controller using Quantum Particle Swarm Optimization
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Optimal Design of STATCOM Based OFD Controller using Quantum Particle Swarm Optimization

机译:基于STATCOM的量子粒子群优化OFD控制器的优化设计。

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摘要

This study present the optimal design of OFD (OFD) controller for static synchronous compensator (STATCOM) connected to a power system, in order to increase the damping of low frequency electromechanical oscillations. The design process is converted to an optimization problem with the time domain-based objective function which is solved by a Quantum-behaved Particle Swarm Optimization (QPSO) technique that has fewer parameters and stronger search capability than the Classical Particle Swarm Optimization (CPSO), as well as is easy to implement. To guarantee the robust performance of the OFD controller, the design process takes into account a wide range of operating conditions and system configurations. The simulation results demonstrate the effectiveness of proposed controller in comparison with designed Classical PSO (CPSO) based STATCOM controller.
机译:本研究提出了用于连接到电力系统的静态同步补偿器(STATCOM)的OFD控制器(OFD)控制器的最佳设计,以增加低频机电振荡的阻尼。使用基于时域的目标函数将设计过程转化为优化问题,该问题可以通过量子行为粒子群优化(QPSO)技术解决,该技术比经典粒子群优化(CPSO)具有更少的参数和更强的搜索能力,以及易于实施。为了保证OFD控制器的鲁棒性能,设计过程考虑了广泛的工作条件和系统配置。仿真结果表明,与基于经典PSO(CPSO)的STATCOM控制器相比,该控制器的有效性。

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