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Tuning of damping controller for UPFC using quantum particle swarm optimizer

机译：使用量子粒子群优化器对UPFC的阻尼控制器进行调整

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摘要

On the basis of the linearized Phillips-Herffron model of a single machine power system, we design optimally the unified power flow controller (UPFC) based damping controller in order to enhance power system low frequency oscillations. The problem of robustly UPFC based damping controller is formulated as an optimization problem according to the time domain-based objective function which is solved using quantum-behaved particle swarm optimization (QPSO) technique that has fewer parameters and stronger search capability than the particle swarm optimization (PSO), as well as is easy to implement. To ensure the robustness of the proposed damping controller, the design process takes into account a wide range of operating conditions and system configurations. The effectiveness of the proposed controller is demonstrated through non-linear time-domain simulation and some performance indices studies under various disturbance conditions of over a wide range of loading conditions. The results analysis reveals that the designed QPSO based UPFC controller has an excellent capability in damping power system low frequency oscillations in comparison with the designed classical PSO (CPSO) based UPFC controller and enhance greatly the dynamic stability of the power systems. Moreover, the system performance analysis under different operating conditions show that the δ_E based damping controller is superior to the m_B based damping controller.
机译：基于单机电力系统的线性化Phillips-Herffron模型，我们优化设计了基于统一潮流控制器（UPFC）的阻尼控制器，以增强电力系统的低频振荡。根据基于时域的目标函数，将基于鲁棒UPFC的阻尼控制器问题表述为优化问题，该问题使用量子行为粒子群优化（QPSO）技术解决，该技术比粒子群优化具有更少的参数和更强的搜索能力（PSO），并且易于实施。为了确保所提出的阻尼控制器的鲁棒性，设计过程考虑了广泛的运行条件和系统配置。通过非线性时域仿真和一些性能指标的研究，证明了所提出控制器的有效性。结果分析表明，与基于经典PSO（CPSO）的UPFC控制器相比，基于QPSO的UPFC控制器具有出色的阻尼电力系统低频振荡的能力，并大大提高了电力系统的动态稳定性。此外，在不同工况下的系统性能分析表明，基于δ_E的阻尼控制器优于基于m_B的阻尼控制器。

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