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首页> 外文期刊>Energy and power engineering >Damping Controller Based Quantum Particle Swarm Optimization for VSC HVDC to Improve Power System Stability
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Damping Controller Based Quantum Particle Swarm Optimization for VSC HVDC to Improve Power System Stability

机译:基于阻尼控制器的VSC HVDC量子粒子群优化算法,以提高电力系统的稳定性

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摘要

The use of the supplementary controllers of a High Voltage Direct Current (HVDC) based on Voltage Source Converter (VSC) to damp low Frequency oscillations in a weakly connected system is surveyed. Also, singular value decomposition (SVD)-based approach is used to analyze and assess the controllability of the poorly damped electromechanical modes by VSC-HVDC different control channels. The problem of supplementary damping controller based VSC-HVDC system is formulated as an optimization problem according to the time domain-based objective function which is solved using quantum-behaved particle swarm optimization (QPSO). Individual designs of the HVDC controllers using QPSO method are evaluated. The effectiveness of the proposed controllers on damping low frequency oscillations is checked through eigenvalue analysis and non-linear time simulation under various disturbance conditions over a wide range of loading.
机译:调查了使用基于电压源转换器(VSC)的高压直流(HVDC)辅助控制器来抑制弱连接系统中的低频振荡的情况。此外,基于奇异值分解(SVD)的方法还用于分析和评估VSC-HVDC不同控制通道对弱阻尼机电模式的可控制性。根据基于时域的目标函数,将基于补充阻尼控制器的VSC-HVDC系统的问题表述为优化问题,该问题使用量子行为粒子群算法(QPSO)解决。对使用QPSO方法的HVDC控制器的各个设计进行了评估。通过本征值分析和非线性时间仿真,可以在宽负载范围内的各种干扰条件下,验证所提出的控制器在阻尼低频振荡方面的有效性。

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