基于卡尔曼滤波器的微电网多输入单输出直流-直流变换器控制

Waqas Farooq, M. J. Alvi, T. Izhar
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引用次数: 1

摘要

近年来,基于可再生能源系统(RES)的微电网应用得到了广泛发展。由于RES中的功率波动,在直流母线上获得稳定准确的输出电压是直流微电网应用中的一个主要问题。目前,RES的开关以及输出电压的预测相当缓慢,并且总谐波失真不能降低到最小水平。因此,本研究开发了一种用于多输入单输出(MISO)DC-DC转换器的控制器和卡尔曼滤波器。最初,对四个串联的光伏电池板进行了建模和分析。升压转换器用于组合光伏电池板的输出,并在直流母线上提供单一输出。扰动和观测是一种最大功率点跟踪(MPPT)算法,用于从建模的RES中检索最佳功率。分析表明,输出电压波形包含谐波,总谐波失真(THD)为27.73%。因此,对卡尔曼滤波器进行了建模和分析,以去除谐波。因此,THD值降低到2.1%,这完全在IEEE规定的光伏系统THD的允许范围内。分析表明,使用所提出的方案可以实现基于光伏的RES的稳定和准确的输出,并且进一步的THD也在IEEE规定的范围内。
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Multiple Input Single Output DC to DC Converter Control Using Kalman Filter for Microgrid Applications
Renewable energy system (RES) based microgrid applications have grown extensively over the recent years. Owing to power fluctuations in RES, acquiring stable and accurate output voltage at the DC Bus is a major concern in DC microgrid applications. Presently, switching, as well as, prediction of output voltage for RES is quite slow and total harmonic distortion cannot be reduced to a minimal level. Accordingly, this research developed a controller for Multiple Input Single Output (MISO) DC to DC converter and a Kalman filter. Initially, four seriesconnected PV panels were modelled and analysed. A boost converter was used to combine PV panels' output and provide a single output at the DC Bus. Perturb and Observe, a Maximum Power Point Tracking (MPPT) algorithm, was used to retrieve optimal power from modelled RES. Analysis revealed that the output voltage waveform contained harmonics and had a Total Harmonic Distortion (THD) of 27.73 %. Thus, a Kalman filter was modeled and analysed to remove the harmonics. The THD value was consequently reduced to 2.1 %, which is quite within the allowable limit prescribed by IEEE, for the THD of a PV system. Analysis revealed that a stable and accurate output from a PV based RES could be achieved with the proposed scheme, and further THD was also well within limits prescribed by IEEE.
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来源期刊
Proceedings of the Pakistan Academy of Sciences: Part A
Proceedings of the Pakistan Academy of Sciences: Part A Computer Science-Computer Science (all)
CiteScore
0.70
自引率
0.00%
发文量
15
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