Abstract
This paper discusses the concept of a PV (photovoltaic integrated grid) system. MPPT technique based on proportional integration (PI) is used to derive maximal power from the PV Module. PV system performance is influenced by the irradiations and temperature of the atmosphere. The PI control has played a major role in enhancing the PV system performance response. The duty cycle is developed using an MPPT integrated PI controller for the DC–DC boost converter. Sine cosine algorithm (SCA) is implemented to increase the performance response of the developed PV module to the proposed controller's gain parameter. The efficiency of the PI controller on the basis of the MPPT is higher than the traditional P&O techniques. The proposed PI-based MPPT technique for optimization showed that the proposed PV method improved in terms of time response.
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References
Esram T, Chapman PL (2007) Comparison of photovoltaic array maximum power point tracking techniques. IEEE Trans Energy Convers 22(2):439–449
Al-Diab A, Sourkounis C (2010) Variable step size P&O MPPT algorithm for PV systems. In: IEEE, 12th international conference on optimization of electrical and electronic equipment 2010, pp 1097–1102
Ishaque K, Salam Z (2013) A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition. Renew Sustain Energy Rev 19:475–488
Ahmed J, Salam Z (2014) A maximum power point tracking (MPPT) for PV system using Cuckoo search with partial shading capability. Appl Energy 119:118–130
Ramli MZ, Salam Z (2014) A simple energy recovery scheme to harvest the energy from shaded photovoltaic modules during partial shading. IEEE Trans Power Electron 29(12):6458–6471
Yang YR (2011) A fuzzy logic controller for maximum power point pathing with 8-bit microcontroller. 5:1078–1086
Liu YH, Liu CL, Huang JW, Chen JH (2013) Neural-network-based maximum power point tracking methods for photovoltaic systems operating under fast changing environments. Sol Energy 89:42–53
Kamarzaman NA, Tan CW (2014) A comprehensive review of maximum power point tracking algorithms for photovoltaic systems. Renew Sustain Energy Rev 37:585–598
Reisi AR, Moradi MH, Jamasb S (2013) Classification and comparison of maximum power point tracking techniques for photovoltaic system: a review. Renew Sustain Energy Rev 19:433–443
Femia N, Petrone G, Spagnuolo G, Vitelli M (2005) Optimization of perturb and observe maximum power point tracking method. IEEE Trans Power Electron 20(4):963–973
Sahu RK, Shaw B (2018) Design of solar system by implementing ALO optimized PID based MPPT controller. Trends in Renewable Energy. 4(3):44–55
Hoffmann S, Koehl M (2012) Investigation on the impact of macro-and micro-climate on the potential induced degradation. In: 2013 IEEE 39th photovoltaic specialists conference (PVSC). 6 Jun 2013, pp 1822–1825. IEEE
Shareef H, Mutlag AH, Mohamed A (2015) A novel approach for fuzzy logic PV inverter controller optimization using lightning search algorithm. Neurocomputing 168:435–453
Ali ES, Abd Elazim SM, Abdelaziz AY (2016) Ant lion optimization algorithm for renewable distributed generations. Energy 116:445–458
Cheng PC, Peng BR, Liu YH, Cheng YS, Huang JW (2015) Optimization of a fuzzy-logic-control-based MPPT algorithm using the particle swarm optimization technique. Energies 8(6):5338–5360
Oshaba AS, Ali ES, Abd Elazim SM (2017) PI controller design for MPPT of photovoltaic system supplying SRM via BAT search algorithm. Neural Comput Appl 28(4):651–667
Nagarajan R, Yuvaraj R, Hemalatha V, Logapriya S, Mekala A, Priyanga S (2017) Implementation of PV-based boost converter using PI controller with PSO algorithm. Int J Eng Comput Sci (IJECS) 6(3):20479–20484
Zaghba L, Terki N, Borni A, Bouchakour A (2015) Robust maximum power point tracking technique and PI current controller design for grid connected PV system using MATLAB/SIMULINK. J Electr Eng 15:315–320
Neçaibia A, Ladaci S, Charef A, Loiseau JJ (2015) Fractional order extremum seeking approach for maximum power point tracking of photovoltaic panels. Frontiers in Energy. 9(1):43–53
Sahu RK, Shaw B, Nayak JR (2019) SCA based Interval Type-2 Fuzzy PID controller for solar MPPT. Int J Recent Technol Eng (IJRTE) 8(4):10493–10501
Sahu RK, Shaw B, Nayak JR (2021) Short/medium term solar power forecasting of Chhattisgarh state of India using modified TLBO optimized ELM. Eng Sci Technol Int J 24(5):1180:1200
Mirjalili S (2016) SCA: a sine cosine algorithm for solving optimization problems. Knowl-Based Syst 96:120–133
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Sahu, R.K., Shaw, B. (2022). Design and Simulation of a Grid-Integrated Solar System PI Based on MPPT Controller Using SCA Optimized. In: Edwin Geo, V., Aloui, F. (eds) Energy and Exergy for Sustainable and Clean Environment, Volume 1. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-8278-0_8
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DOI: https://doi.org/10.1007/978-981-16-8278-0_8
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