Design and simulation of reduced switch converter based solar PV and energy storage fed shunt active power filter with butterfly optimization

Q3 Mathematics
Koganti Srilakshmi , Sravanthy Gaddameedhi , Alapati Ramadevi , Praveen Kumar Balachandran , J. Ganesh Prasad Reddy , Ramprasad Vangalapudi
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Abstract

This work optimally designs the shunt active power filter powered by battery storage and a solar PV system in addition to the reduced switch converters connected across DC bus. The gain values of the proportional integral controller for the shunt and energy storage system are considered as control parameters and properly adjusted utilizing a nature-inspired butterfly optimization algorithm. This proposed work seeks to accomplish the following main goals: (1) stabilizing DC bus voltage within a short period of time (sec) during load and sun irradiation variations (2) suppressing harmonics in current waveforms thereby improving power factor. The efficiency of the optimally designed controller is examined with three test studies using MATLAB/Simulink. Subsequently, the obtained outcomes are then compared with the standard fuzzy logic, PIC, sliding mode controllers in addition to genetic algorithm, biogeography-based optimization metaheruristic methods. Upon analyzing the results, it is evident that the suggested approach gives a Total Harmonic Distortion of 2.27 %, 2.24 %, and 4.555 % for the three test cases respectively. However, this THD values are lower when compared to other methods, in addition DC bus voltage is achieved within a short settling time of 0.02 s.
基于蝶形优化的太阳能光伏储能并联有源滤波器设计与仿真
本文优化设计了由蓄电池和太阳能光伏系统供电的并联有源电源滤波器,以及通过直流母线连接的简化开关转换器。并联和储能系统的比例积分控制器的增益值作为控制参数,并利用自然启发的蝴蝶优化算法进行适当调整。本工作旨在实现以下主要目标:(1)在负载和太阳辐照变化期间在短时间(秒)内稳定直流母线电压;(2)抑制电流波形中的谐波,从而提高功率因数。利用MATLAB/Simulink进行了三次试验研究,验证了优化后控制器的有效性。然后,将得到的结果与标准模糊逻辑、PIC、滑模控制器以及遗传算法、基于生物地理的优化元预测方法进行比较。分析结果表明,该方法对三个测试用例的总谐波失真分别为2.27%、2.24%和4.555%。然而,与其他方法相比,该THD值较低,并且在0.02 s的短稳定时间内实现直流母线电压。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Results in Control and Optimization
Results in Control and Optimization Mathematics-Control and Optimization
CiteScore
3.00
自引率
0.00%
发文量
51
审稿时长
91 days
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