Abstract
The increasing demand for electrical energy has made it inevitable to bring forth an environment-friendly energy resource which has to be robust as well as economic. Solar energy fulfils these criteria significantly, and to cultivate such energy, a reliable photovoltaic (PV) model is required. But most of the typical PV system undergoes a low energy conversion ratio because of improper choice of PV parameters. To build a proficient PV model, the estimation of precise and accurate parameters is mandatory. This paper portrays the Sine Cosine Algorithm (SCA) for the estimation of photovoltaic (PV) module parameters. Unknown parameters of the PV model of a single diode PV module are estimated under the standard test condition (STC). PV parameter estimation using SCA has shown a significant minimum value of the fitness function hence maximizing the convergence. A comparative study has been done between SCA and other existing popular techniques named as the nonlinear least square (NLS) method and the modified Newton–Raphson (N-R) method. From the power–voltage (P-V) and current–voltage (I-V) characteristics, it’s found that the SCA model matches more accurately with the datasheet values.
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References
S. Bhattacharjee, B. J. Saharia. 2014. A comparative study on converter topologies for maximum power point tracking application in photovoltaic generation. J. Renew. Sustain. Energy 6. https://doi.org/10.1063/1.4900579
B. Nayak, A. Mohapatra, K.B. Mohanty, Selection criteria of dc-dc converter and control variable for MPPT of PV system utilized in heating and cooking applications. Cogent Eng 26, 1–16 (2017). https://doi.org/10.1080/23311916.2017.1363357
A. Mohapatra, B. Nayak, B. Misra (2014) Model validation and maximum power point tracking of photovoltaic module. 2014 Power Energy Syst Conf Towar Sustain Energy, PESTSE 2014 0–3. https://doi.org/10.1109/PESTSE.2014.6805314
Mohapatra A, Nayak B, Mohanty KB (2016) Performance improvement in MPPT of SPV system using NN controller under fast changing environmental condition. 2016 IEEE 6th Int Conf Power Syst ICPS 2016 0–4. https://doi.org/10.1109/ICPES.2016.7584159
Villalva MG, Gazoli JR, Filho ER (2009) modeling and circuit-based simulation of photovoltaic arrays
P.A. Kumari, P. Geethanjali, Parameter estimation for photovoltaic system under normal and partial shading conditions : A survey. Renew Sustain Energy Rev 84, 1–11 (2018). https://doi.org/10.1016/j.rser.2017.10.051
M.G. Villalva, J.R. Gazoli, E.R. Filho, Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays. IEEE Trans Power Electron 24, 1198–1208 (2009). https://doi.org/10.1109/TPEL.2009.2013862
D. Sera, R. Teodorescu, P. Rodriguez, PV panel model based on datasheet values. IEEE Int Symp Ind Electron 2007, 2392–2396 (2007). https://doi.org/10.1109/ISIE.2007.4374981
D.H. Muhsen, A.B. Ghazali, T. Khatib, I.A. Abed, Extraction of photovoltaic module model’s parameters using an improved hybrid differential evolution/electromagnetism-like algorithm. Sol Energy 119, 286–297 (2015). https://doi.org/10.1016/j.solener.2015.07.008
D.F. Alam, D.A. Yousri, M.B. Eteiba, Flower Pollination Algorithm based solar PV parameter estimation. Energy Convers Manag 101, 410–422 (2015). https://doi.org/10.1016/j.enconman.2015.05.074
Moldovan N, Picos R, Garcia-Moreno E (2009) Parameter extraction of a solar cell compact model usign genetic algorithms. Proc 2009 Spanish Conf Electron Devices, CDE’09, Spain 379–382. https://doi.org/10.1109/SCED.2009.4800512
M.U. Siddiqui, M. Abido, Parameter estimation for five- and seven-parameter photovoltaic electrical models using evolutionary algorithms. Appl Soft Comput J 13, 4608–4621 (2013). https://doi.org/10.1016/j.asoc.2013.07.005
Nayak BK, Mohapatra A, Mohanty KB (2013) Parameters estimation of photovoltaic module using nonlinear least square algorithm: A comparative study. 2013 Annu IEEE India Conf INDICON 2013. https://doi.org/10.1109/INDCON.2013.6726120
A. Mohapatra, B.K. Nayak, K.B. Mohanty, Comparative study on single diode photovoltaic module parameter extraction methods. Proc 2013 Int Conf Power. Energy Control ICPEC 2013, 30–34 (2013). https://doi.org/10.1109/ICPEC.2013.6527619
F.J. Toledo, J.M. Blanes, Geometric properties of the single-diode photovoltaic model and a new very simple method for parameters extraction. Renew Energy 72, 125–133 (2014). https://doi.org/10.1016/j.renene.2014.06.032
A. Mohapatra, B. Nayak, K.B. Mohanty, Parameter estimation of single diode PV module based on Nelder-Mead optimization algorithm. World J Eng 15, 70–81 (2018). https://doi.org/10.1108/WJE-04-2017-0093
S. Mirjalili, SCA: A Sine Cosine Algorithm for solving optimization problems. Knowledge-Based Syst 96, 120–133 (2016). https://doi.org/10.1016/j.knosys.2015.12.022
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Mohapatra, A., Saiprakash, C., Nayak, B., Samal, S., Raut, U. (2023). Parameter Estimation of Photovoltaic Module Using Sine Cosine Algorithm. In: Dash, R.N., Rathore, A.K., Khadkikar, V., Patel, R., Debnath, M. (eds) Smart Technologies for Power and Green Energy. Lecture Notes in Networks and Systems, vol 443. Springer, Singapore. https://doi.org/10.1007/978-981-19-2764-5_26
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DOI: https://doi.org/10.1007/978-981-19-2764-5_26
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