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首页> 外文期刊>International journal of Power and energy conversion >Power quality control of voltage source converter-based HVDC system using particle swarm optimisation
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Power quality control of voltage source converter-based HVDC system using particle swarm optimisation

机译:基于粒子群算法的基于电压源变换器的高压直流输电系统电能质量控制

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摘要

Power quality control of voltage source converter (VSC)-based high voltage direct current (HVDC) transmission system is proposed in this paper. The particle swarm optimisation (PSO) technique is used for selection of optimum controller gain which results quick response to various transient conditions such as load perturbation, voltage sag, nonlinear load, and tapped load fault at points-of-common coupling (PCC). The conventional PSO approach is modified to get various power quality indices such as harmonic distortion, power factor, and DC-link voltage ripple within the limits for an 18-pulse VSC-based HVDC system. The effectiveness of proposed PSO approach is compared with conventional PI tuning, i.e., Zeigler-Nichols approach. The complete design and optimisation process are presented using illustrations, equations and flow charts in a simplified manner so as to provide a good support for readers.
机译:提出了基于电压源变换器(VSC)的高压直流(HVDC)输电系统的电能质量控制方法。粒子群优化(PSO)技术用于选择最佳控制器增益,该增益可快速响应各种瞬态情况,例如负载扰动,电压骤降,非线性负载和公共点耦合(PCC)的抽头负载故障。修改了传统的PSO方法,以在基于18脉冲VSC的HVDC系统的限制范围内获得各种电能质量指标,例如谐波失真,功率因数和直流母线电压纹波。将提议的PSO方法的有效性与传统的PI调整(即Zeigler-Nichols方法)进行了比较。使用图解,方程式和流程图以简化的方式介绍了完整的设计和优化过程,从而为读者提供了良好的支持。

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