Abstract
This chapter proposes a new method for reconfiguring the dynamic photovoltaic (PV) array under repeating shade conditions. The repeating shades are often caused in photovoltaic installations, especially in residential installations where PV modules can be subjected to shades occurred by nearby buildings or trees. The proposed method is based on logic gates and aims to minimize the processing time in the way that controller does not have to perform an exhaustive calculations at each shade condition to achieve the optimal configuration of the PV generator . Simulation of 2 × 2 size dynamic photovoltaic array has been carried out. Experimental tests of 1 × 1 size Dynamic Photovoltaic array under different irradiance conditions have been also conducted. The simulation and experimental tests have validated the proposed method in identification of the optimal configuration with less processing time and with an improvement in reducing power losses.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Mutoh, N., Ohno, M., Inoue, T.: A method for MPPT control while searching for parameters corresponding to weather conditions for PV generation systems. IEEE Trans. Ind. Electron. 53(4), 1055–1065 (2008)
Khezzar, R., Zereg, M., Khezzar, A.: Modeling improvement of the four parameter model for photovoltaic modules. Sol. Energy 110, 452–462 (2014)
Ishaque, K., Syafaruddin, Salam Z.: A comprehensive MATLAB Simulink PV system simulator with partial shading capability based on two-diode model. Sol. Energy 85(9), 2217–2227 (2011)
Bidram, A., Davoudi, A., Balog, R.S.: Control and circuit techniques to mitigate partial shading effects in photovoltaic arrays. IEEE J. Photovolt. 2(4), 532–546 (2012)
Malathy, S., Ramaprabha, R., Mathur, B.L.: Asymmetrical multilevel inverters for partially shaded PV systems. In: Proceedings of IEEE Conference on Circuits, Power and Computing Technologies, pp. 579–58 (2013)
Jaleel, J.A., Omega, A.R.: Maximum power point tacking simulation of PV array at partially shaded condition using lab view. In: Proceedings IEEE Conference on Control Communication and Computing, pp. 319–324 (2013)
Koutroulis, E., Blaabjerg, F.: A new technique for tracking the global maximum power point of PV arrays operating under partial-shading conditions. IEEE J. Photovolt. 2(2), 184–190 (2012)
Malathy, S., Ramaprabha, R.: Reconfiguration strategies to extract maximum power from photovoltaic array under partially shaded conditions. Renew. Sustain. Energy Rev. 1–13 (2017)
Nguyen, D., Member, S., Lehman, B.: An adaptive solar photovoltaic array using model-based reconfiguration algorithm. IEEE Trans. Ind. Electron. 55(7), 2644–2654 (2008)
Nguyen, D,, Lehman, B.: A reconfigurable solar photovoltaic array under shadow conditions. In: IEEE Twenty-Third Annual Applied Power Electronics Conference and Exposition, pp. 980–986 (2008)
Patnaik, B., Sharma, P., Trimurthulu, E., Duttagupta, S.P., Agarwal, V.: Reconfiguration strategy for optimization of solar photovoltaic array under non-uniform illumination conditions. In: IEEE 37th Photovoltaic Specialists Conference, pp. 1859–1864 (2011)
Patnaik, B., Mohod, J.D., Duttagupta, S.P.: Distributed multi-sensor network for real time monitoring of illumination states for a reconfigurable solar photovoltaic array. In: IR International Symposium on Physics and Technology of Sensors, pp. 106–109 (2012)
Shams El-Dein, M.Z., Kazerani, M., Salama, M.M.A.: Optimal photovoltaic array reconfiguration to reduce partial shading losses. IEEE Trans. Sustain. Energy 4, 145–153 (2013). https://doi.org/10.1109/TSTE.2012.2208128
Orozco-Gutierrez, M.L., Spagnuol, G., Ramirez-Scarpetta, J.M., Petrone, G., Ramos-Paja, C.A.: Optimized configuration of mismatched photovoltaic arrays. IEEE J. Photovolt. 6, 1210–1220 (2016). https://doi.org/10.1109/JPHOTOV.2016.2581481
Carotenuto, P.L., Della Cioppa, A., Marcelli, A., Spagnuolo, G.: An evolutionary approach to the dynamical reconfiguration of photovoltaic fields. Neurocomputing 170, 393–405 (2015)
Rajan, N.A., Shrikant, K.D., Dhanalakshmi, B., Rajasekar, N.: Solar PV array reconfiguration using the concept of standard deviation and genetic algorithm. Energy Procedia 117, 1062–1069 (2017)
Babu, T.S., Ram, J.P., Dragicevic, T., Miyatake, M., Blaabjerg, F., Rajasekar, N.: Particle swarm optimization based solar PV array reconfiguration of the maximum power extraction under partial shading conditions. IEEE Trans. Sustain. Energy 9, 74–85 (2018). https://doi.org/10.1109/TSTE.2017.2714905
Velasco, G., Guinjoan-gispert, F., Piqué-lópez, R., Román-lumbreras, M., Conesa-roca, A.: Electrical PV array reconfiguration strategy for energy extraction improvement in grid-connected PV systems. IEEE Trans. Ind. Electron. 56(11), 4319–4331 (2009)
Romano, P., Candela, R., Cardinale, M., VigniV, L., Sanseverino, E.R.: Optimization of photovoltaic energy production through an efficient switching matrix. J. Sustain. Dev. Energy, Water Environ. Syst. 1(3), 227–236 (2013)
Ngo Ngoc, T., Phung, Q.N., Tung, L.N., Riva Sanseverino, E., Romano, P., Viola, F.: Increasing efficiency of photovoltaic systems under non-homogeneous solar irradiation using improved dynamic programming methods. Sol. Energy 150, 325–334 (2017)
Wilson, P., Storey, J., Bagnall, D.: Improved optimization strategy for irradiance equalization in dynamic photovoltaic arrays. IEEE Trans. Power Electron. 28, 2946–2956 (2013)
Bouselham, L., Hajji, B., Mellit, A., Rabhi, A.: A reconfigurable PV architecture based on new irradiance equalization algorithm. In: Lecture Notes in Electrical Engineering, pp. 470–477 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Bouselham, L., Rabhi, A., Hajji, B. (2020). New Reconfiguration Method Based on Logic Gates for Small Dynamic Photovoltaic Array. In: Mellit, A., Benghanem, M. (eds) A Practical Guide for Advanced Methods in Solar Photovoltaic Systems. Advanced Structured Materials, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-030-43473-1_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-43473-1_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-43472-4
Online ISBN: 978-3-030-43473-1
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)