Maximum Power Point Tracker for Photovoltaic Systems Based on Moth-Flame Optimization Considering Partial Shading Conditions

Document Type: Research paper

Authors

1 Department of Electrical Engineering, Minoodasht Branch, Islamic Azad University, Minoodasht, Iran.

2 Department of Electrical Engineering, Faculty of Basic Sciences and Engineering, Gonbad Kavous University, Gonbad Kavous, Iran.

Abstract

The performance of photovoltaic (PV) systems is highly dependent on environmental conditions. Due to probable changes in environmental conditions, the real-time control of PV systems is essential for exploiting their maximum possible power. This paper proposes a new method to track the maximum power point of PV systems using the moth-flame optimization algorithm. In this method, the PV DC-DC converter’s duty cycle is considered as the optimization parameter, and the delivered power of the PV system is maximized in real time. In the proposed approach, some schemes are also employed for detecting condition changes and ignoring small fluctuations of the duty cycle. The results of performance evaluation confirm that the proposed method is very fast, robust, and accurate in different conditions such as standard irradiance and temperature, irradiance and temperature variations, and partial shading conditions. The obtained steady-state efficiency and response time for the introduced method under the standard conditions of the test PV system are 99.68% and 0.021 s, respectively. Indeed, in addition to a relatively good efficiency, the faster response of the introduced tracker is also evident in comparison with other methods.

Keywords

Main Subjects


[1]   H. Yatimi and E. Aroudam, "Assessment and control of a photovoltaic energy storage system based on the robust sliding mode MPPT controller," Solar Energy, vol. 139,pp. 557-568, December 2016.

[2]   J. Javidan, "Energy management strategy of stand-alone photovoltaic system in cathodic protection pipeline," J. Oper. Autom. Power Eng., vol. 4,no. 2, pp. 143-152, 2016.

[3]   A. Hatefi Einaddin, A. Sadeghi Yazdankhah, and R. Kazemzadeh, "Power management in a utility connected micro-grid with multiple renewable energy sources," J. Oper. Autom. Power Eng., vol. 5,no. 1, pp. 1-10, 2017.

[4]   A. Kheldoun, R. Bradai, R. Boukenoui, and A. Mellit, "A new Golden Section method-based maximum power point tracking algorithm for photovoltaic systems," Energy Convers. Manage., vol. 111,pp. 125-136, March 2016.

[5]   V. Jately and S. Arora, "Development of a dual-tracking technique for extracting maximum power from PV systems under rapidly changing environmental conditions," Energy, vol. 133,pp. 557-571, August 2017.

[6]   J. Ghazanfari and M. Maghfoori Farsangi, "Maximum power point tracking using sliding mode control for photovoltaic array," Iran. J. Electr. Electron. Eng., vol. 9,no. 3, pp. 189-196, 2013.

[7]   P. Lei, Y. Li, and J. E. Seem, "Sequential ESC-Based Global MPPT Control for Photovoltaic Array With Variable Shading," IEEE Trans. Sustain. Energy, vol. 2,no. 3, pp. 348-358, July 2011.

[8]   P. Midya, P. T. Krein, R. J. Turnbull, R. Reppa, and J. Kimball, "Dynamic maximum power point tracker for photovoltaic applications," PESC Record. 27th Annu. IEEE Power Electron. Specialists Conf., 1996, pp. 1710-1716 vol.2.

[9]   K. Sundareswaran, V. Vignesh kumar, and S. Palani, "Application of a combined particle swarm optimization and perturb and observe method for MPPT in PV systems under partial shading conditions," Renewable Energy, vol. 75,pp. 308-317, March 2015.

[10] N. A. Kamarzaman and C. W. Tan, "A comprehensive review of maximum power point tracking algorithms for photovoltaic systems," Renewable Sustain. Energy Rev., vol. 37,pp. 585-598, September 2014.

[11] Z. Wu and D. Yu, "Application of improved bat algorithm for solar PV maximum power point tracking under partially shaded condition," Appl. Soft Comput., vol. 62,pp. 101-109, January 2018.

[12] L. L. Jiang, R. Srivatsan, and D. L. Maskell, "Computational intelligence techniques for maximum power point tracking in PV systems: A review," Renewable Sustain. Energy Rev., vol. 85,pp. 14-45, April 2018.

[13] A. Mellit and S. A. Kalogirou, "MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives," Energy, vol. 70,pp. 1-21, June 2014.

[14] F. Chekired, A. Mellit, S. A. Kalogirou, and C. Larbes, "Intelligent maximum power point trackers for photovoltaic applications using FPGA chip: A comparative study," Solar Energy, vol. 101,pp. 83-99, March 2014.

[15] M. Mao, L. Zhang, P. Duan, Q. Duan, and M. Yang, "Grid-connected modular PV-Converter system with shuffled frog leaping algorithm based DMPPT controller," Energy, vol. 143,pp. 181-190, January 2018.

[16] M. Mao, L. Zhang, Q. Duan, and B. Chong, "Multilevel DC-link converter photovoltaic system with modified PSO based on maximum power point tracking," Solar Energy, vol. 153,pp. 329-342, September 2017.

[17] G. Dileep and S. N. Singh, "An improved particle swarm optimization based maximum power point tracking algorithm for PV system operating under partial shading conditions," Solar Energy, vol. 158,pp. 1006-1015, December 2017.

[18] H. Chaieb and A. Sakly, "A novel MPPT method for photovoltaic application under partial shaded conditions," Solar Energy, vol. 159,pp. 291-299, January 2018.

[19] M. Sarvi, S. Ahmadi, and S. Abdi, "A PSO-based maximum power point tracking for photovoltaic systems under environmental and partially shaded conditions," Prog. Photovoltaics: Res. Appl., vol. 23,no. 2, pp. 201-214, 2015.

[20] S. Daraban, D. Petreus, and C. Morel, "A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading," Energy, vol. 74,pp. 374-388, September 2014.

[21] L. Guo, Z. Meng, Y. Sun, and L. Wang, "A modified cat swarm optimization based maximum power point tracking method for photovoltaic system under partially shaded condition," Energy, vol. 144,pp. 501-514, February 2018.

[22] J. Ahmed and Z. Salam, "A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability," Appl. Energy, vol. 119,pp. 118-130, April 2014.

[23] D. F. Teshome, C. H. Lee, Y. W. Lin, and K. L. Lian, "A Modified Firefly Algorithm for Photovoltaic Maximum Power Point Tracking Control Under Partial Shading," IEEE J. Emerging Sel. Top. Power Electron., vol. 5,no. 2, pp. 661-671, June 2017.

[24] J. Prasanth Ram and N. Rajasekar, "A new global maximum power point tracking technique for solar photovoltaic (PV) system under partial shading conditions (PSC)," Energy, vol. 118,pp. 512-525, January 2017.

[25] A. A. Zaki Diab and H. Rezk, "Global MPPT based on flower pollination and differential evolution algorithms to mitigate partial shading in building integrated PV system," Solar Energy, vol. 157,pp. 171-186, November 2017.

[26] K. Kaced, C. Larbes, N. Ramzan, M. Bounabi, and Z. e. Dahmane, "Bat algorithm based maximum power point tracking for photovoltaic system under partial shading conditions," Solar Energy, vol. 158,pp. 490-503, December 2017.

[27] S. Mirjalili, "Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm," Knowl.-Based Syst., vol. 89,pp. 228-249, November 2015.

[28] N. Aouchiche, M. S. Aitcheikh, M. Becherif, and M. A. Ebrahim, "AI-based global MPPT for partial shaded grid connected PV plant via MFO approach," Solar Energy, vol. 171,pp. 593-603, 2018/09/01/ 2018.

[29] "MATLAB User’s Guide: R2017a Documentation," MathWorks Inc, Natick, MA, USA, 2017.

[30] B. N. Alajmi, K. H. Ahmed, S. J. Finney, and B. W. Williams, "Fuzzy-Logic-Control Approach of a Modified Hill-Climbing Method for Maximum Power Point in Microgrid Standalone Photovoltaic System," IEEE Trans. Power Electron., vol. 26,no. 4, pp. 1022-1030, April 2011.

[31] M. A. A. M. Zainuri, M. A. M. Radzi, A. C. Soh, and N. A. Rahim, "Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter," IET Renewable Power Gener., vol. 8,no. 2, pp. 183-194, March 2014.

[32] E. Babaei and M. E. S. Mahmoodieh, "Calculation of output voltage ripple and design considerations of SEPIC converter," IEEE Trans. Ind. Electron., vol. 61,no. 3, pp. 1213-1222, March 2014.

[33] S. Liu, Y. Li, and L. Liu, "Analysis of output voltage ripple of buck DC-DC converter and its design," in 2009 2nd Int. Conf. Power Electron. Intell. Transport. Sys. (PEITS), 2009, pp. 112-115.

[34] A. H. E. Khateb, N. A. Rahim, J. Selvaraj, and B. W. Williams, "DC-to-DC converter with low input current ripple for maximum photovoltaic power extraction," IEEE Trans. Ind. Electron., vol. 62,no. 4, pp. 2246-2256, April 2015.

[35] E. Salary, M. R. Banaei, and A. Ajami, "Multi-stage DC-AC converter based on new DC-DC converter for energy conversion," J. Oper. Autom. Power Eng., vol. 4,no. 1, pp. 42-53, 2016.


Volume 7, Issue 2
Summer and Autumn 2019
Pages 176-186
  • Receive Date: 22 October 2018
  • Revise Date: 31 December 2018
  • Accept Date: 13 February 2019