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A New Method for MPPT Algorithm Implementation and Testing, Suitable for Photovoltaic CellsSFIRAT, A. , GONTEAN, A. , BULARKA, S.
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algorithms, maximum power point trackers, photovoltaic cells, simulation, solar energy
photovoltaic(18), solar(14), power(13), energy(11), cell(8), maximum(7), system(6), point(6), model(6), tracking(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2018-08-31
Volume 18, Issue 3, Year 2018, On page(s): 53 - 60
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.03008
Web of Science Accession Number: 000442420900008
SCOPUS ID: 85052151335
The goal of this paper is to present an implementation method for a Maximum Power Point Tracking (MPPT) algorithm using an electronic load and custom designed LabView software. The aim is to facilitate the testing of the algorithm in laboratory conditions, before it can be used in the real world, improving development time, facilitating cost reduction and offering confidence in the design. This paper analyses the most suitable MPPT algorithms for testing purposes and suggests a complete software and hardware implementation for hardware in the loop testing which can facilitate in-depth evaluation of different algorithms. In order to replicate realistic stimuli for the MPPT algorithm, a solar array simulator has been designed. Using the proposed method, the performance of various MPPT algorithms for different atmospheric conditions can be evaluated. The hardware and software setup have been tested and validated in laboratory conditions. The experimental results have validated the proposed evaluation method and the good dynamic response of the MPPT algorithm.
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 Power Optimization in Hybrid Renewable Energy Standalone System using SMC-ANFIS, KALVINATHAN, V., CHITRA, S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 22, 2022.
Digital Object Identifier: 10.4316/AECE.2022.03008 [CrossRef] [Full text]
 Maximum Power Point Tracking Algorithm for Grid-connected Photo Voltaic System, Reddy Gogulamoodi, Koti, Maflin Shaby, S., Ramesh, P., Journal of Physics: Conference Series, ISSN 1742-6588, Issue , 2019.
Digital Object Identifier: 10.1088/1742-6596/1172/1/012037 [CrossRef]
 MPPT Control Algorithm Based on Particle Swarm Optimization and Adaptive Linear Active Disturbance Rejection Control, Zhang, Miao, Zhuang, Keyu, Zhao, Tong, Xue, Jingze, Gao, Yunlong, Cui, Shuai, Qiao, Zheng, Energies, ISSN 1996-1073, Issue 23, Volume 15, 2022.
Digital Object Identifier: 10.3390/en15239091 [CrossRef]
 Exploration of different maximum power point tracking techniques for photovoltaic system, Rajbhoj, Pankaj, Hamde, Satish, International Journal of Ambient Energy, ISSN 0143-0750, Issue 1, Volume 44, 2023.
Digital Object Identifier: 10.1080/01430750.2022.2137584 [CrossRef]
 Simulation and Hardware Implementation of Photovoltaic Maximum Power Point Tracking System, Alweheshi, Shoroug, Abdelali, Aisha, Albarassi, Muhanad, Hammoda, Ahmed, Mohamed, Adel, 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET), ISBN 978-1-7281-2301-1, 2019.
Digital Object Identifier: 10.1109/PGSRET.2019.8882739 [CrossRef]
 Analyzing the Effect of Partial Shading on Performance of Grid Connected Solar PV System, Anjali, , Kaushik, Raj Kumar, Sharma, Deepak, 2018 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), ISBN 978-1-5386-4525-3, 2018.
Digital Object Identifier: 10.1109/ICRAIE.2018.8710395 [CrossRef]
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Stefan cel Mare University of Suceava, Romania
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