Abstract
This paper presents a simulation and modelling of a fuel cell system to extract maximum power from an array for an off-grid stand-alone system. A stand-alone system consists of fuel cell stack/array, DC–DC boost converter and a load. A DC–DC boost converter is needed to boost the voltage as per the requirement or application. Sine Cosine Algorithm is adopted to enhance the output of the system and to find out the controller gain parameters. SCA-optimized PID-based MPPT controller is validated over conventional P&O-based MPPT scheme, to regulate the pulse width of the DC–DC boost converter to enhance the output power, voltage and current. The gain parameters of the PID controller are tuned/selected in such that it gives best result, since gain parameters highly influence the system performance. The model is simulated in MATLAB 2015a, and the obtained result is validated that the SCA-optimized PID controller is better than the conventional P&O based MPPT.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Huria, T.: Dy. Chief Mechanical Engineer, DMU Care Base, Northern Railway, Jalandhar City Introduction. Fuel Cells (1958)
Sarvi, M., Soltani, I.: Voltage and current based MPPT of fuel cells for fuel consumption optimization and mismatching compensation. Tech. J. Eng. Appl. Sci. ©2013 TJEAS J 3 (2013)
Anbarasan, M., Latha, K.: Resistance matching algorithm for MPPT of fuel cell system. Int. J. Adv. Res. Electr. Electron. Instrum. Energy, 32–40 (2014)
Mussetta, M., Grimaccia, F., Zich, R.E.: Comparison of different optimization techniques in the design of electromagnetic devices. In: 2012 IEEE Congress on Evolutionary Computation, pp. 1–6 (2012)
Derbeli, M., et al.: Control of proton exchange membrane fuel cell (PEMFC) power system using PI controller
Derbeli, M., Sbita, L., Farhat, M., Unis, E.A., Barambones, O., De Ingenieria, E.U.: PEM fuel cell green energy generation—SMC efficiency optimization
Perry, M.L., Fuller, T.F.: A historical perspective of fuel cell technology in the 20th century. J. Electrochem. Soc. 149(7), S59 (2002)
Tourkia, L.: Interaction between fuel cell and DC/ DC converter for renewable energy management (2017)
Derbeli, M., Sbita, L., Farhat, M., Unis, E.A., Barambones, O., De Ingenieria, E.U.: Proton exchange membrane fuel cell−a smart drive algorithm
Giustiniani, A., Petrone, G., Spagnuolo, G., Vitelli, M.: Low-frequency current oscillations and maximum power point tracking in grid-connected fuel-cell-based systems. IEEE Trans. Ind. Electron. 57(6), 2042–2053 (2010)
Meshkat, M., Parhizgar, M.: A novel weighted update position mechanism to improve the performance of sine cosine algorithm. In: 2017 5th Iranian Joint Congress on Fuzzy and Intelligent Systems, pp. 166–171 (2017)
Mirjalili, S.: SCA: a sine cosine algorithm for solving optimization problems. Knowl. Based Syst. 96, 120–133 (2016)
Sig, I.: Training feedforward neural networks using sine-cosine algorithm to improve the prediction of liver enzymes on fish farmed on nano-selenite, Techncal Report, vol. 2009, no. 5, pp. 5–8 (2009)
Banerjee, A., Nabi, M.: Re-entry trajectory optimization for space shuttle using sine-cosine algorithm. In: 2017 8th International Conference Recent Advance Space Technology, pp. 73–77 (2017)
Hafez, A.I., Zawbaa, H.M., Emary, E., Hassanien, A.E.: Sine cosine optimization algorithm for feature selection. In: International Symposium on Innovations in Intelligent Systems and Applications, pp. 1–5 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Shashikant, Shaw, B. (2019). Comparison of SCA-Optimized PID and P&O-Based MPPT for an Off-grid Fuel Cell System. In: Nayak, J., Abraham, A., Krishna, B., Chandra Sekhar, G., Das, A. (eds) Soft Computing in Data Analytics . Advances in Intelligent Systems and Computing, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-13-0514-6_6
Download citation
DOI: https://doi.org/10.1007/978-981-13-0514-6_6
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-0513-9
Online ISBN: 978-981-13-0514-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)