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首页> 外文期刊>Renewable Power Generation, IET >MOPSO-based optimal control of shunt active power filter using a variable structure fuzzy logic sliding mode controller for hybrid (FC-PV-Wind-Battery) energy utilisation scheme
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MOPSO-based optimal control of shunt active power filter using a variable structure fuzzy logic sliding mode controller for hybrid (FC-PV-Wind-Battery) energy utilisation scheme

机译：基于MOPSO的并联有源电力滤波器的最优控制，使用可变结构模糊逻辑滑模控制器进行混合（FC-PV-风电池）能量利用方案

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摘要

This paper presents an effective concept for hybrid fuel cell-photovoltaic-wind-battery active power filter (FC-PV-Wind-Battery) energy scheme based on the variable structure sliding mode fuzzy logic controller (SMFLC) using the multi-objective particle swarm optimisation (MOPSO). The parameters of the fuzzy logic control membership functions and the weighting factors of the SMFLC can be tuned by MOPSO in such an approach to optimise the dynamic performance of the shunt active power filter (SAPF) and minimise the total harmonic distortion (THD) of the source current waveform and voltage waveform of the hybrid (FC-PV-Wind-Battery). A group of objective functions was chosen to validate the dynamic performance of the SAPF and the effectiveness of the MOPSO-SMFLC. These selected fitness functions are: (i) minimising the error of the inverter capacitor DC voltage, (ii) minimising the THD of the output current and voltage of DC and AC sides and (iii) minimising the controller reaching time. A computer simulation study using Simulink/Matlab and experimental laboratory prototype were carried on to asses and compare the dynamic performance of the proposed MOPSO-SMFLC controller with the conventional proportional-integral-derivative, variable structure SMFLC, the feed-forward multilayer neural network controller and the variable structure SMFLC based on the single-objective particle swarm optimisation.
机译：本文提出了一种基于可变目标滑模模糊逻辑控制器（SMFLC）的多目标粒子群混合燃料电池-光伏-风能-电池-有源电力滤波器（FC-PV-Wind-Battery）能量方案的有效概念。优化（MOPSO）。可以通过MOPSO调整模糊逻辑控制隶属函数的参数和SMFLC的加权因子，以优化并联有源功率滤波器（SAPF）的动态性能并最小化其总谐波失真（THD）。混合动力（FC-PV-Wind-Battery）的源电流波形和电压波形。选择了一组目标函数来验证SAPF的动态性能和MOPSO-SMFLC的有效性。这些选定的适应性功能是：（i）最小化逆变器电容器直流电压的误差，（ii）最小化输出电流和DC和AC侧电压的THD，以及（iii）最小化控制器到达时间。进行了使用Simulink / Matlab的计算机仿真研究和实验实验室原型，以评估和比较拟议的MOPSO-SMFLC控制器与常规比例-积分-微分，可变结构SMFLC（前馈多层神经网络控制器）的动态性能基于单目标粒子群优化的变结构SMFLC。

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