A detailed comparative analysis of different photovoltaic array configurations under partial shading conditions
Corresponding Author
Vandana Jha
Department of Electrical Engineering, National Institute of Technology Patna, Patna, India
Correspondence
Vandana Jha, Department of Electrical Engineering, National Institute of Technology Patna, Patna, Bihar 800005, India.
Email: [email protected]
Search for more papers by this authorUday Shankar Triar
Department of Electrical Engineering, National Institute of Technology Patna, Patna, India
Search for more papers by this authorCorresponding Author
Vandana Jha
Department of Electrical Engineering, National Institute of Technology Patna, Patna, India
Correspondence
Vandana Jha, Department of Electrical Engineering, National Institute of Technology Patna, Patna, Bihar 800005, India.
Email: [email protected]
Search for more papers by this authorUday Shankar Triar
Department of Electrical Engineering, National Institute of Technology Patna, Patna, India
Search for more papers by this authorSummary
The objective of this paper is to compare the performances of different photovoltaic (PV) array configurations (series, parallel, series-parallel, total-cross-tied, bridge-linked, and honey comb) and proposed hybrid configurations (series parallel–total cross tied, bridge linked–total cross tied, honey comb–total cross tied, and bridge linked–honey comb) under artificial and realistic partial shading conditions. The performances of all these configurations have been compared on the basis of their maximum powers, fill factors, thermal voltages, and relative power losses. Different PV array configurations have also been compared on the basis of other significant factors (faults, limitations of specific parameters of the PV system, and cost). The single-diode model of PV module is considered in this paper for modelling of PV module. The obtained results of different PV array configurations give beneficial knowledge regarding the performances of these configurations for several shading patterns and assist to choose the most satisfactory configuration for a particular shading pattern.
REFERENCES
- 1Pachauri R, Yadav AS, Chauhan YK, Sharma A, Kumar V. Shade dispersion-based photovoltaic array configurations for performance enhancement under partial shading conditions. Int Trans Electr Energy Syst. 2018; 28(7). https://doi.org/10.1002/etep.2556
- 2Rana AS, Nasir M, Khan HA. String level optimisation on grid-tied solar PV systems to reduce partial shading loss. IET Renew Power Gener. 2018; 12(2): 143-148.
- 3Dhimish M, Holmes V, Mehrdadi B, Dales M, Chong B, Zhang L. Seven indicators variations for multiple PV array configurations under partial shading and faulty PV conditions. Renew Energy. 2017; 113: 438-460.
- 4Bai J, Cao Y, Hao Y, Zhang Z, Liu S, Cao F. Characteristic output of PV systems under partial shading or mismatch conditions. Sol Energy. 2015; 112: 41-54.
- 5Ahmada R, Murtazaa AF, Sherb HA, Shamic UT, Olalekand S. An analytical approach to study partial shading effects on PV array supported by literature. Renew Sust Energ Rev. 2017; 74: 721-732.
- 6Belhachat F, Larbes C. Modeling, analysis and comparison of solar photovoltaic array configurations under partial shading conditions. Sol Energy. 2015; 120: 399-418.
- 7Ramaprabha R, Mathur BL. A comprehensive review and analysis of solar photovoltaic array configurations under partial shaded conditions. Int J Photoenergy. 2012; 2012: 1-16.
- 8Daliento S, Napoli FD, Guerriero P, d'Alessandro V. A modified bypass circuit for improved hot spot reliability of solar panels subject to partial shading. Sol Energy. 2016; 134: 211-218.
- 9Ko SW, Ju YC, Hwang HM, et al. Electric and thermal characteristics of photovoltaic modules under partial shading and with a damaged bypass diode. Energy. 2017; 128: 232-243.
- 10Mohapatraa A, Nayaka B, Dasa P, Mohanty KB. A review on MPPT techniques of PV system under partial shading condition. Renew Sust Energ Rev. 2017; 80: 854-867.
- 11Ramli MAM, Twaha S, Ishaque K, Al-Turki YA. A review on maximum power point tracking for photovoltaic systems with and without shading conditions. Renew Sust Energ Rev. 2017; 67: 144-159.
- 12Joshi P, Arora S. Maximum power point tracking methodologies for solar PV systems—a review. Renew Sust Energ Rev. 2017; 70: 1154-1177.
- 13Subudhi B, Pradhan R. A comparative study on maximum power point tracking techniques for photovoltaic power systems. IEEE Trans Sustainable Energy. 2013; 4(1): 89-98.
- 14Belhachat F, Larbes C. A review of global maximum power point tracking techniques of photovoltaic system under partial shading conditions. Renew Sust Energ Rev. 2018; 92: 513-553.
- 15Babu TS, Ram JP, 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 Sustainable Energy. 2018; 9(1): 74-85.
- 16Jin Y, Hou W, Li G, Chen X. A glowworm swarm optimization-based maximum power point tracking for photovoltaic/thermal systems under non-uniform solar irradiation and temperature distribution. Energies. 2017; 10(4): 1-13.
- 17Mohanty S, Subudhi B, Ray PK. A new MPPT design using grey wolf optimization technique for photovoltaic system under partial shading conditions. IEEE Trans Sustainable Energy. 2016; 7(1): 181-188.
- 18Mohanty S, Subudhi B, Ray PK. A grey wolf-assisted perturb & observe MPPT algorithm for a PV system. IEEE Trans Energy Convers. 2017; 32(1): 340-347.
- 19Benyoucefa AS, Chouderb A, Karaa K, Silvestrec S, Sahedaa OA. Artificial bee colony based algorithm for maximum power point tracking (MPPT) for PV systems operating under partial shaded conditions. Appl Soft Comput. 2015; 32: 38-48.
- 20Titri S, Larbes C, Toumi KY, Benatchba K. A new MPPT controller based on the ant colony optimization algorithm for photovoltaic systems under partial shading conditions. Appl Soft Comput. 2017; 58: 465-479.
- 21Kaced K, Larbes C, Ramzan N, Bounabia M, Dahmane ZE. Bat algorithm based maximum power point tracking for photovoltaic system under partial shading conditions. Sol Energy. 2017; 158: 490-503.
- 22Teshome DF, Lee CH, Lin YW, Lian KL. A modified firefly algorithm for photovoltaic maximum power point tracking control under partial shading. IEEE J Emerg Sel Top Power Electron. 2017; 5(2): 661-671.
- 23Lyden S, Haque MDE. A simulated annealing global maximum power point tracking approach for PV modules under partial shading conditions. IEEE Trans Power Electron. 2016; 31(6): 4171-4181.
- 24Ram JP, Rajasekar N. A novel flower pollination based global maximum power point method for solar maximum power point tracking. IEEE Trans Power Electron. 2017; 32(11): 8486-8499.
- 25Huang C, Wang L, RS-c Y, Zhang Z, Chung HS-h, Bensoussan A. A prediction model guided Jaya algorithm for the PV system maximum power point tracking. IEEE Trans Sustainable Energy. 2018; 9(1): 45-55.
- 26Jha V, Triar US. Experimental verification of different PV array configurations under partial shading condition. IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE);India, 18-19 Dec. 2017: 43-46.
- 27Bastidas-Rodriguez JD, Ramos-Paja CA, Saavedra-Montes AJ. Reconfiguration analysis of photovoltaic arrays based on parameters estimation. Simul Model Pract Theory. 2013; 35: 50-68.
- 28Bingöl O, Özkaya B. Analysis and comparison of different PV array configurations under partial shading conditions. Sol Energy. 2018; 160: 336-343.
- 29Pareek S, Chaturvedi N, Dahiya R. Optimal interconnections to address partial shading losses in solar photovoltaic arrays. Sol Energy. 2017; 155: 537-551.
- 30Sanseverino ER, Ngoc TN, Cardinale M, et al. Dynamic programming and Munkres algorithm for optimal photovoltaic arrays reconfiguration. Sol Energy. 2015; 122: 347-358.
- 31Nejad SM, Khalafi A, Ahmadi SM. Mathematical analysis of total-cross-tied photovoltaic array under partial shading condition and its comparison with other configurations. Sol Energy. 2016; 133: 501-511.
- 32Ngoc TN, Phung QN, Tung LN, Sanseverino ER, Romano P, Viola F. Increasing efficiency of photovoltaic systems under non-homogeneous solar irradiation using improved dynamic programming methods. Sol Energy. 2017; 150: 325-334.
- 33Brecl K, Topic M. Self-shading losses of fixed free-standing PV arrays. Renew Energy. 2011; 36(11): 3211-3216.
- 34Deline C, Dobos A, Janzou S, Meydbray J, Donovan M. A simplified model of uniform shading in large photovoltaic arrays. Sol Energy. 2013; 96: 274-282.
- 35Wurster TS, Schubert MB. Mismatch loss in photovoltaic systems. Sol Energy. 2014; 105: 505-511.
- 36Lappalainen K, Valkealahti S. Recognition and modelling of irradiance transitions caused by moving clouds. Sol Energy. 2015; 112: 55-67.
- 37Lappalainen K, Valkealahti S. Analysis of shading periods caused by moving clouds. Sol Energy. 2016; 135: 188-196.
- 38Lappalainen K, Valkealahti S. Effects of PV array layout, electrical configuration and geographic orientation on mismatch losses caused by moving clouds. Sol Energy. 2017; 144: 548-555.
- 39Lappalainen K, Valkealahti S. Photovoltaic mismatch losses caused by moving clouds. Sol Energy. 2017; 158: 455-461.
- 40Lappalainen K, Valkealahti S. Output power variation of different PV array configurations during irradiance transitions caused by moving clouds. Appl Energy. 2017; 190: 902-910.
- 41 KD260GX-LFB2, KD 200-60F series—KYOCERA SOLAR. Datasheet. [Online]. Available: http://www.kyocerasolar.com/dealers/product-center/, January 24 2019.
- 42Asef P, Bargallo R, Barzegaran MR, Lapthorn A. A 3-D Pareto-based shading analysis on solar photovoltaic system design optimization. IEEE Trans Sustainable Energy. 2018; 1. https://doi.org/10.1109/TSTE.2018.2849370
- 43Jha V, Triar US. An improved generalized method for evaluation of parameters, modeling, and simulation of photovoltaic modules. Int J Photoenergy (Hindawi. 2017;Article ID; 2532109 2017: 1-19.
- 44Dhimish M, Holmes V. Fault detection algorithm for grid-connected photovoltaic plants. Sol Energy. 2016; 137: 236-245.
- 45Dhimish M, Holmes V, Dales M. Parallel fault detection algorithm for grid-connected photovoltaic plants. Renew Energy. 2017; 113: 94-111.
- 46Roy S, Alam MK, Khan F, Johnson J, Flicker J. An irradiance-independent, robust ground-fault detection scheme for PV arrays based on spread spectrum time-domain reflectometry (SSTDR). IEEE Trans Power Electron. 2018; 33(8): 7046-7057.
- 47Chaurey A, Deambi S. Battery storage for PV power systems: an overview. Renew Energy. 1992; 2(3): 227-235.