A cost-effective and optimized maximum powerpoint tracking system for the photovoltaic model

Q2 Computer Science

International Journal of Electrical and Computer Engineering Pub Date : 2023-10-01 DOI:10.11591/ijece.v13i5.pp4942-4949

Yoganandini Arehalli Puttalingaiah, Anitha Gowda Shesadri

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Abstract

Solar energy is naturally available from sun, and it can be extracted by using a photovoltaic (PV) cell. However, solar energy extraction entirely depends on the climatic conditions and angle of rays falling on PV cells. Hence, maximum powerpoint tracking (MPPT) is considered in most areas under variable climatic conditions, which acts as a controller unit for PV cells. MPPT can enhance the efficiency of PV cells. However, designing an MPPT model is challenging as different uncertainties in the climatic condition may lead to more fluctuations in voltage and current in PV cells. Under the shaded condition, the PV cell may have other MPPT points that lead to the PV cell’s low efficiency in analyzing maximum power. Hence, this paper introduces a cost-effective and optimized system for the PV model that can find optimal power and improve PV cells’ efficiency. The proposed system achieves better computational performance with ~35% and ~42% than existing MPPT techniques. The improved particle swarm optimization (PSO) is smoother due to the enhanced form of MPP tracking. Hence, improved PSO takes 0.038 sec while the existing PSO technique takes 0.045 sec to obtain the MPP tracking.

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光伏模型的成本效益和优化的最大ppt跟踪系统

太阳能是天然的，可以从太阳获得，并且可以通过使用光伏(PV)电池来提取。然而，太阳能的提取完全取决于气候条件和照射在光伏电池上的光线角度。因此，在可变气候条件下，大多数地区都考虑最大ppt跟踪(MPPT)，它作为光伏电池的控制单元。MPPT可以提高光伏电池的效率。然而，设计MPPT模型具有挑战性，因为气候条件的不同不确定性可能导致光伏电池中的电压和电流波动更大。在阴影条件下，光伏电池可能存在其他MPPT点，导致光伏电池在分析最大功率时效率较低。因此，本文介绍了一种性价比高的光伏模型优化系统，该系统可以找到最优功率，提高光伏电池的效率。该系统的计算性能比现有的MPPT技术提高了~35%和~42%。改进的粒子群算法由于增强了MPP跟踪的形式而更加平滑。因此，改进的粒子群算法获得MPP跟踪的时间为0.038秒，而现有粒子群算法获得MPP跟踪的时间为0.045秒。

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

International Journal of Electrical and Computer Engineering Computer Science-Computer Science (all)

CiteScore

4.10

自引率

0.00%

发文量

177

期刊介绍： International Journal of Electrical and Computer Engineering (IJECE) is the official publication of the Institute of Advanced Engineering and Science (IAES). The journal is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, computer and informatics engineering which covers, but not limited to, the following scope: -Electronics: Electronic Materials, Microelectronic System, Design and Implementation of Application Specific Integrated Circuits (ASIC), VLSI Design, System-on-a-Chip (SoC) and Electronic Instrumentation Using CAD Tools, digital signal & data Processing, , Biomedical Transducers and instrumentation, Medical Imaging Equipment and Techniques, Biomedical Imaging and Image Processing, Biomechanics and Rehabilitation Engineering, Biomaterials and Drug Delivery Systems; -Electrical: Electrical Engineering Materials, Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Electric Traction, Electromagnetic Compatibility, High Voltage Insulation Technologies, High Voltage Apparatuses, Lightning Detection and Protection, Power System Analysis, SCADA, Electrical Measurements; -Telecommunication: Modulation and Signal Processing for Telecommunication, Information Theory and Coding, Antenna and Wave Propagation, Wireless and Mobile Communications, Radio Communication, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services and Security Network; -Control[...] -Computer and Informatics[...]