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Multi-objective optimization based optimal compensation strategies study for power quality enhancement under distorted voltages

机译:基于多目标优化的电压补偿提高电能质量的最优补偿策略研究

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In this paper optimal control strategies for active power filters working under non-sinusoidal voltage are approached using Pareto Optimal based multi-objective optimization. Where the voltages are distorted, there is some conflict between power factor improvement, current harmonics mitigation, and cost issues. The Strength Pareto multi objective optimization approach is used to simultaneously optimize a set of different objective functions such as current THD, power factor, distortion factor (DF), K factor, and the filter kVA. The result is a set (not a single point) of optimal results called Pareto Front. Designer can make decision to pick out one of the results which are more suitable considering some other requirements. Using multi objective optimization provides a more comprehensive design scenario giving us much more broaden view to the compensation strategy. The extensive simulation results of the optimization for several objective functions shows the suitability of the presented method.
机译:在本文中,基于基于Pareto最优的多目标优化方法,研究了在非正弦电压下工作的有源电力滤波器的最优控制策略。在电压失真的地方,功率因数改善,电流谐波抑制和成本问题之间存在一些冲突。强度帕累托多目标优化方法用于同时优化一组不同的目标函数,例如电流总谐波失真,功率因数,失真因数(DF),K因数和滤波器kVA。结果是一组最优结果(不是单点),称为Pareto Front。设计人员可以考虑其他一些要求,做出选择更合适的结果之一的决定。使用多目标优化可提供更全面的设计方案,从而使我们对补偿策略有更广阔的视野。对几个目标函数进行优化的广泛仿真结果表明了该方法的适用性。

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