Abstract
Solar energy will always be available, but harnessing its power may be difficult since it is intermittent. Therefore, a technology that integrates systems is necessary to satisfy the load requirement. The integration of the system is referred to as a converter, and it has an algorithm that can be educated according to the requirements of the final product. The perturb and observe (P&O) technique is used in this work due to the fact that it is simple to implement and has gained widespread recognition in the industry. This study’s objective is to construct a step voltage controller and a step-duty P&O maximum point tracking controller-based DC-to-DC boost converter, respectively, and then make a comparison between the two. In this study, a step voltage controller and step-duty controller-based DC-to-DC boost converter are used to develop and evaluate the performance of the various components under a variety of different climatic circumstances. In order to assess the efficiency of the system, it is also important to make a comparison between the oscillations in load power and the amount of time it takes for the circumstances to settle. MATLAB Simulink and coding are used in order to evaluate the system while taking into consideration the circumstances of India’s changing temperature and the intensity of the sun’s radiation.
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References
Aguila-Leon J, Vargas-Salgado C, Chiñas-Palacios C (2023) Solar photovoltaic maximum power point tracking controller optimization using grey wolf optimizer: a performance comparison between bio-inspired and traditional algorithms. Expert Syst Appl 211:118700. https://doi.org/10.1016/j.eswa.2022.118700
Akeyo OM, Rallabandi V, Jewell N, Ionel DM (2020) The design and analysis of large solar PV farm configurations with DC-connected battery systems. IEEE Trans Ind Appl 56(3):2903–2912. https://doi.org/10.1109/TIA.2020.2969102
Alam M, Gul MS, Muneer T (2023) Performance analysis and comparison between bifacial and monofacial solar photovoltaic at various ground albedo conditions. Renew Energy Focus. https://doi.org/10.1016/j.ref.2023.01.005
Al-Qaness MAA et al (2023) Hyperspectral image classification based on fusing S3-PCA, 2D-SSA and random patch network. Remote Sens 15(13):3402. https://doi.org/10.3390/RS15133402
Amole AO, Oladipo S, Olabode OE, Makinde KA, Gbadega P (2023) Analysis of grid / solar photovoltaic power generation for improved village energy supply : a case of Ikose in Oyo State Nigeria. Renew Energy Focus 44:186–211. https://doi.org/10.1016/j.ref.2023.01.002
Aquib M, Jain S, Agarwal V (2020) A time-based global maximum power point tracking technique for PV system. IEEE Trans Power Electron 35(1):393–402. https://doi.org/10.1109/TPEL.2019.2915774
Arun S, Ahamed TPI, Lakaparampil ZV (2023) A SEPIC-based three-port converter system using a mode-specific power flow management control for solar energy harvesting. Renew Energy Focus 44:56–74. https://doi.org/10.1016/j.ref.2022.09.009
Arya G, Bagwari A, Chauhan DS (2022) Performance analysis of deep learning-based routing protocol for an efficient data transmission in 5G WSN communication. IEEE Access 10:9340–9356. https://doi.org/10.1109/ACCESS.2022.3142082
Başoğlu ME (2022) Comprehensive review on distributed maximum power point tracking: submodule level and module level MPPT strategies. Sol Energy 241:85–108. https://doi.org/10.1016/j.solener.2022.05.039
Belkaid A, Gaubert JP, Gherbi A (2017) Design and implementation of a high performance technique for tracking PV peak power. IET Renew Power Gener 11(1):92–99. https://doi.org/10.1049/iet-rpg.2016.0023
Blaabjerg F, Iannuzzo F, Ceccarelli L (2017) Power electronics and drive systems. https://doi.org/10.1002/9781119103462.ch6
Chandra S, Yadav A, Khan MAR, Pushkarna M, Bajaj M, Sharma NK (2021) Influence of artificial and natural cooling on performance parameters of a solar PV system: a case study. IEEE Access 9:29449–29457. https://doi.org/10.1109/ACCESS.2021.3058779
Chevtchenko SF, Barbosa EJ, Cavalcanti MC, Azevedo GMS (2022) Combining PPO and incremental conductance for MPPT under dynamic shading and temperature. Appl Soft Comput. https://doi.org/10.1016/j.asoc.2022.109748
Chishti F, Murshid S, Singh B (2020) PCC voltage quality restoration strategy of an isolated microgrid based on adjustable step adaptive control. IEEE Trans Ind Appl 56(6):6206–6215. https://doi.org/10.1109/TIA.2020.3018430
Corrêa HP, Vieira FHT (2023) Hybrid sensor-aided direct duty cycle control approach for maximum power point tracking in two-stage photovoltaic systems. Int J Electr Power Energy Syst 145:108690. https://doi.org/10.1016/j.ijepes.2022.108690
Das R, Akay B, Singla R (2017) Application of artificial bee colony algorithm for inverse modelling of a solar collector. Inverse Probl Sci Eng 25(6):887–908. https://doi.org/10.1080/17415977.2016.1209748
Gewohn T, Bredemeier D, Schinke C, Lim B, Brendel R (2022) Improved calculation of the power gain of vertical PV modules due to ground reflection using the ground view factor. IEEE J Photovoltaics 12(6):1567–1575. https://doi.org/10.1109/JPHOTOV.2022.3207312
Goswami R, Das R (2020) Experimental analysis of a novel solar pond driven thermoelectric energy system. J Energy Resourc Technol. https://doi.org/10.1115/1.4047324
Goyal S, Deolia VK, Agrawal S (2022) An advanced neuro-fuzzy tuned PID controller for pitch control of horizontal axis wind turbines. ECTI Trans Electr Eng Electron Commun 20(2):296–305
Haegel N, Kurtz S (2021) Global progress toward renewable electricity: tracking the role of solar. IEEE J Photovoltaics 11(6):1335–1342. https://doi.org/10.1109/JPHOTOV.2021.3104149
Houssein EH, Ibrahim IE, Kharrich M (2022) An improved marine predators algorithm for the optimal design of hybrid renewable energy systems. Eng Appl Artif Intell 110:104722. https://doi.org/10.1016/j.engappai.2022.104722
Jin S, Choi J (2022) Optimal load scheduling of home appliances considering operation conditions. Oper Res Eng Sci Theory Appl 5(3):230–243. https://doi.org/10.31181/oresta121222211j
Karmouni H, Chouiekh M, Motahhir S, Qjidaa H, Jamil MO (2022) Optimization and implementation of a photovoltaic pumping system using the sine–cosine algorithm. Eng Appl Artif Intell 114:105104. https://doi.org/10.1016/j.engappai.2022.105104
Kumar V, Kumar S (2021) Design and development of dual axis solar panel tracking system for normalized performance enhancement of solar panel design and development of dual axis solar panel tracking system for normalized performance enhancement of solar panel. In: International Conference on Sustainable Computing in Science, Technology & Management (SUSCOM-2019), https://doi.org/10.2139/ssrn.3363084
Long W, Jiao J, Xu M, Tang M, Wu T (2022) Lens-imaging learning Harris hawks optimizer for global optimization and its application to feature selection. Expert Syst Appl 202:117255. https://doi.org/10.1016/j.eswa.2022.117255
Mahesh PV, Meyyappan S, Koteswara R, Alla R (2022) A new multivariate linear regression MPPT algorithm for solar PV system with boost converter. ECTI Trans Electr Eng Electron Commun 20:269–281
Mei Q, Shan M, Liu L, Guerrero JM (2011) A novel improved variable step-size incremental-resistance MPPT method for PV systems. IEEE Trans Ind Electron 58(6):2427–2434. https://doi.org/10.1109/TIE.2010.2064275
Nguyen XH, Nguyen MP (2015) Mathematical modeling of photovoltaic cell/module/arrays with tags in Matlab/Simulink. Environ Syst Res. https://doi.org/10.1186/s40068-015-0047-9
Nsengiyumva W, Chen SG, Hu L, Chen X (2018) Recent advancements and challenges in solar tracking systems (STS): a review. Renew Sustain Energy Rev 81:250–279. https://doi.org/10.1016/j.rser.2017.06.085
Peng BR, Ho KC, Liu YH (2018) A novel and fast MPPT method suitable for both fast changing and partially shaded conditions. IEEE Trans Ind Electron 65(4):3240–3251. https://doi.org/10.1109/TIE.2017.2736484
Rashid MH (2007) Power electronics—circuits, devices, and applications, 3rd edn. Prentice Hall India, New Delhi
Singh G, Das R (2019) Energy saving potential of a combined solar and natural gas-assisted vapor absorption building cooling system. J Sol Energy Eng. 141(1):011016
Song S, Wang P, Heidari AA, Zhao X (2022) Adaptive Harris hawks optimization with persistent trigonometric differences for photovoltaic model parameter extraction. Eng Appl Artif Intell. https://doi.org/10.1016/j.engappai.2021.104608
Soon TK, Mekhilef S (2015) A fast-converging MPPT technique for photovoltaic system under fast-varying solar irradiation and load resistance. IEEE Trans Ind Inform 11(1):176–186. https://doi.org/10.1109/TII.2014.2378231
Srivastava M, Saxena A (2016) Direct and quadrature axis voltage and current control of a three phase grid connected PV system with adaptive fuzzy logic MPPT controller. In: 1st IEEE International Conference on Power Electronics. Intelligent Control and Energy Systems (ICPEICES-2016), pp. 1–5. 978-1-4673-8587-9/16/$31.00? 2016 IEEE
Tagong K, Phanlek C, Jindarak S, Ammatachaya P (2016) Rotary dryer and roaster for fresh chili by using heat energy from LPG. In: Proceedings of the 2016 International Conference on Cogeneration, Small Power Plants and District Energy, ICUE 2016, 2016, no. September, pp. 14–16. https://doi.org/10.1109/COGEN.2016.7728953
Tripathi M, Singh LK, Singh S, Singh P (2022) A comparative study on reliability analysis methods for safety critical systems using petri-nets and dynamic flowgraph methodology: a case study of nuclear power plant. IEEE Trans Reliab 71(2):564–578. https://doi.org/10.1109/TR.2021.3109059
Venkatramanan D, John V (2019) Dynamic modeling and analysis of buck converter based solar PV charge controller for improved MPPT performance. IEEE Trans Ind Appl 55(6):6234–6246. https://doi.org/10.1109/TIA.2019.2937856
Verma S, Das R (2021) Performance analysis of a solar still driven by a packed bed thermal storage tank during off-sunshine period. J Energy Storage 44:103381
Verma S, Banerjee S, Das R (2022) A fully analytical model of a box solar cooker with sensible thermal storage. Sol Energy 233:531–542
Vieira RG, Dhimish M, de Araújo FMU (2022) Comparing multilayer perceptron and probabilistic neural network for PV systems fault detection. Expert Syst Appl 201:117248. https://doi.org/10.1016/j.eswa.2022.117248
Weng F, Zhang X, Xue Y, Sun L (2022) G. In: 2022 IEEE 11th Data Driven Control and Learning Systems Conference August 5–7, 2022, Emeishan, China, 2022, pp. 342–346
Xie C, Zhou L, Ding S, Liu R, Zheng S (2023) Experimental and numerical investigation on self-propulsion performance of polar merchant ship in brash ice channel. Ocean Eng 269:113424. https://doi.org/10.1016/j.oceaneng.2022.113424
Xu S, Shao R, Cao B, Chang L (2021) Single-phase grid-connected PV system with golden section search-based MPPT algorithm. Chin J Electr Eng. 7(4):25–36
Xu J, Zhao Y, Chen H, Deng W (2023) ABC-GSPBFT: PBFT with grouping score mechanism and optimized consensus process for flight operation data-sharing. Inf Sci (NY) 624:110–127. https://doi.org/10.1016/J.INS.2022.12.068
Yadav I, Maurya SK, Gupta GK (2020) A literature review on industrially accepted MPPT techniques for solar PV system. Int J Electr Comput Eng 10(2):2117–2127. https://doi.org/10.11591/ijece.v10i2.pp2117-2127
Yadav A, Deolia VK, Agrawal S (2021) Dual current loop control for a third -order passive damped filter based quasi-Z-source inverter. ECTI Trans Electr Eng Electron Commun. 19:12–22
Yaghoubi M, Eslami M, Noroozi M, Mohammadi H, Kamari O, Palani S (2022) Modified salp swarm optimization for parameter estimation of solar PV models. IEEE Access 10(September):110181–110194. https://doi.org/10.1109/ACCESS.2022.3213746
Yang L, Yunbo Z (2008) A novel improved variable step size INC MPPT method for PV systems. IEEE Trans Ind Electron 55(7):2622–2628. https://doi.org/10.1109/ccdc.2019.8832451
Yang B, Zhang M, Guo Z, Cao P, Yang J, He G, Yang J, Su R, Huang X, Zhu M, Lu H, Zhu D, Yang B, Zhang M, Guo Z, Cao P, Yang J, He G, Yang J, Su R, Huang X, Zhu M (2023) Adaptive evolutionary jellyfish search algorithm based optimal photovoltaic array reconfiguration under partial shading condition for maximum power extraction. Expert Syst Appl 215:119325. https://doi.org/10.1016/j.eswa.2022.119325
Zhou X et al (2023) Multi-strategy competitive-cooperative co-evolutionary algorithm and its application. Inf Sci (ny) 635:328–344. https://doi.org/10.1016/J.INS.2023.03.142
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Appendix A: Nomenclature
Appendix A: Nomenclature
MPPT | Maximum power point tracking |
PV | Photo voltaic |
SPV | Solar photo voltaic |
GW | Giga watt |
AC | Alternating current |
DC | Direct current |
ISA | International solar alliance |
VMP | Voltage at maximum power |
FF | Fill factor |
MPP | Maximum power point |
P&O | Perturb and observe |
PWM | Pulse width modulation |
DRB | Duty ratio-based |
MNRE | Ministry of New and Renewable Energy |
IC | Incremental conductance |
OC | Open circuit |
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Yadav, I., Sachan, S., Gholian-Jouybari, F. et al. A performance analysis of step-voltage and step-duty size-based MPPT controller used for solar PV applications. Soft Comput 28, 7465–7479 (2024). https://doi.org/10.1007/s00500-023-09604-9
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DOI: https://doi.org/10.1007/s00500-023-09604-9