Published April 30, 2023
| Version CC BY-NC-ND 4.0
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Performance Analysis of MPPT Algorithms Designed for Photovoltaic System
Creators
- 1. Department of Electrical Engineering, BMSCE, Bengaluru (Karnataka), India.
- 2. Department of Electrical Engineering, BMSCE, Bengaluru, (Karnataka), India.
- 3. Department of Electrical Engineering, UVCE, K.R. Circle, Bengaluru (Karnataka), India.
Contributors
Contact person:
- 1. Department of Electrical Engineering, BMSCE, Bengaluru (Karnataka), India.
Description
Abstract: The capacity to reap the highest output power in various environmental conditions is one of the most critical tasks in the application of photovoltaic (PV) systems. Although many cutting-edge methods have been developed to accomplish this, the majority of methods have significant drawbacks, for instance, poor tracking capabilities and heavy computational load. Therefore, the aim of this work is to present a control algorithm that takes into account the connection between the solar array output power and the controller's PWM duty cycle of the MPPT boost converter. The proposed customized CNN is implemented in MATLAB/SIMULINK and compared with well known for its performance. The findings demonstrate an increase in the PV system's ability to generate power in any weather, as well as a reduction in the effects of rapid changes in solar irradiation on output power.
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Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
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- Journal article: 2249-8958 (ISSN)
References
- Li D, Li J and Wang N (2021) "A Novel Technique Based on Peafowl Optimization Algorithm for Maximum Power Point Tracking of PV SystemsUnder Partial Shading Condition". Front. Energy Res. 9:801571. doi: 10.3389/fenrg.2021.801571
- Hiren Patel & Vivek Agarwal. "Matlab-based modeling to study the effects of partial shading on pv array characteristics". Energy Conversion, IEEE Transactions on, vol. 23, no. 1, pp. 302-310, 2008.
- M. Irwanto et al., "Analysis simulation of the photovoltaic output performance", Power Engineering and Optimization Conference (PEOCO) 2014 IEEE 8th International, pp. 477-481, 2014.
- Faranda, Roberto & Leva, S, "Energy comparison of MPPT techniques for PV Systems". J. Electromagn. Anal. Appl.2008.
- Geoff Walker. "Evaluating mppt converter topologies using a matlab pv model". Journal of Electrical & Electronics Engineering, Vol.21, issue 1, pp.49–56, 2001.
- Sah Bikram & GVE Kumar" A comparative study of different MPPT techniques using different dc-dc converters in a standalone PV system", IEEE Region 10 Conference, 2016
- A. Arora, P. Gaur, "Comparison of ANN and ANFIS based MPPT Controller for grid connected PV systems", Annual IEEE India Conference (INDICON), pp. 1-6, 2015.
- Abdelaziz et al.," A novel approach in stand-alone photovoltaic system using MPPT controllers & NNE", Ain Shams Engineering Journal, Vol.2, pp.1973-1984,2021.
- Maind, S.B. & Wankar, P," Research paper on basic of Artificial Neural Network". International Journal on Recent and Innovation Trends in Computing and Communication. Vol.2, pp.96-100, 2014.
- I.A Basheer, M Hajmeer, "Artificial neural networks: fundamentals, computing, design, and application, Journal of Microbiological Methods, Vol.43, Issue 1, Pages 3-31, 2000.
- Munish Manas et al.,"An Artificial Neural Network based Maximum Power Point Tracking Method for Photovoltaic System", IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2016), pp. 23-25, 2016.
- Khare A. & S. Rangnekar, " A review of particle swarm optimization and its applications in solar photovoltaic system. Applied Soft Computing, Vol.13, pp.2997-3006, 2013
- Sriranjani, R et al.," Design of Cuk Converter Powered by PV Array". Research Journal of Applied Sciences, Engineering and Technology. Vol.6, pp.793-796, 2013.
- B. Masood, M. S et al.,, "Maximum power point tracking using hybrid perturb & observe and incremental conductance techniques," 2014 4th International Conference on Engineering Technology and Technopreneuship (ICE2T), pp. 354-359, 2014,
- Noppadol Khaehintung et al.," Fpga implementation of mppt using variable step-size p&o algorithm for pv applications". International Symposium onCommunications and Information Technologies, ISCIT'06, pp. 212–215.IEEE, 2006.
- Y. -H. Liu et al.,, "A Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for PV Systems Operating Under Partially Shaded Conditions," in IEEE Transactions on Energy Conversion, vol. 27, no. 4, pp. 1027-1035, 2012,.
- Munish Manas & Ananya Kumarib , Sanjeev Das ,"An Artificial Neural NetworkBased Maximum Power Point Tracking Method for Photovoltaic System", IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2016), pp.23-25, 2016.
- G.Neelakrishnan et al.,"Transformer Less Boost DC-DC Converter with Photovoltaic Array", IOSR Journal of Engineering, Vol. 3, Issue 10, pp. 2278-8719, 2013.
- N. Pindi, S. Joshi and B. Mehta, "Neural Network based MPPT system for Standalone PV system," IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, pp. 1866-1871, 2020.
- A. Kumar et al., "Cascaded Artificial Neural Network Based MPPT Algorithm for PV Application," 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 296-300, 2019.
- L. P. N. Jyothy & M. R. Sindhu, "An Artificial Neural Network based MPPT Algorithm for Solar PV System," 4th International Conference on Electrical Energy Systems (ICEES), pp. 375-380, 2018
Subjects
- ISSN: 2249-8958 (Online)
- https://portal.issn.org/resource/ISSN/2249-8958#
- Retrieval Number: 100.1/ijeat.D40840412423
- https://www.ijeat.org/portfolio-item/D40840412423/
- Journal Website: www.ijeat.org
- https://www.ijeat.org
- Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
- https://www.blueeyesintelligence.org