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DEVELOPMENT of an ANFIS BASED CONTROL ALGORITHM for MAXIMUM POWER POINT TRACKING in ON-GRID DOUBLE STAGE SINGLE PHASE PV INVERTER

Year 2022, Issue: 050, 150 - 168, 30.09.2022

Abstract

In recent years, interest in solar energy has increased due to the increase in power consumption, the inadequacy of fossil resources and the damage it causes to the environment, as it is a natural energy source and is sustainable. Electricity is generated from solar energy using photovoltaic (PV) panel systems, and PV systems can be easily installed anywhere. In the PV panel systems, the power obtained at the panel output decreases and the efficiency decreases due to geographical conditions, environmental factors and system design. Maximum Power Point (MPP) tracking algorithm is used to obtain maximum output power from the PV panel system and to increase system efficiency. In this study, an Adaptive Network Based Fuzzy Inference System (ANFIS) based MPP tracking algorithm has been developed to obtain maximum power continuously from on-grid double stage 2 kW single phase PV inverter. The ANFIS algorithm uses an adaptive neural network to optimize the parameters of the membership function, and is a combination of artificial intelligence and fuzzy logic. In the algorithm, Direct Quadrant (dq) synchronous reference frame transform is used to generate PWM signals of active switches in on-grid single phase PV inverter. In this algorithm, dq control is performed by converting the grid current and its component obtained by 90° time delay from the stationary axis to the synchronous rotating axis. The algorithm developed based on dq and ANFIS provides the power demanded by the AC grid in a stable and continuous, while following the MPP, increasing the power obtained from the PV panel and inverter, providing maximum efficiency. The validity of the developed algorithm was tested using the Matlab/Simulink simulation program. The comparison simulation results with the PandO algorithm confirm the superiority of the developed ANFIS algorithm.

Thanks

The authors thank the Scientific Research Projects Coordinatorship of Bilecik Şeyh Edebali University for their support for the project titled Implementation of Photovoltaic Energy System with Solar Tracking in Bilecik Seyh Edebali University Central Campus, numbered 2020-01.BŞEÜ.03-07.

References

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  • [19] Manual, P. U. (2010), Powersim Technol. Rockville, MD, USA.
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  • [21] Hart, D. W., 2010 Hart, D. W., (2010),Power Electronics. New York, McGraw-Hill.
  • [22] Zeb, K., Islam, S. U., Din, W. U., Khan, I., Ishfaq, M., Busarello, T. D. C., and Kim, H. J. (2019), Design of fuzzy-PI and fuzzy-sliding mode controllers for single-phase two-stages grid-connected transformerless photovoltaic inverter. Electronics, 8(5), 520.
  • [23] Da Silva, S. A. O., Novochadlo, R., and Modesto, R. A. (2008, June), Single-phase PLL structure using modified pq theory for utility connected systems. In 2008 IEEE Power Electronics Specialists Conference (pp. 4706-4711), IEEE.
  • [24] Onal, Y. (2021), Analysis of a new SEPIC AC–DC PFC converter for light emitting diode applications. Emerging Materials Research, 11(1), 51-59.
  • [25] Miranda, U. D. A., Rolim, L. G. B., and Aredes, M. (2005, June), A DQ synchronous reference frame current control for single-phase converters. In 2005 IEEE 36th power electronics specialists conference (pp. 1377-1381), IEEE.
  • [26] Jha, R. R., and Srivastava, S. C. (2016, March), Fuzzy Logic and ANFIS controller for grid integration of Solar PhotoVoltaic. In 2016 IEEE 6th International conference on Power Systems (ICPS) (pp. 1-6), IEEE.
  • [27] Abu-Rub, H., Iqbal, A., Ahmed, S. M., Peng, F. Z., Li, Y., and Baoming, G. (2012), Quasi-Z-source inverter-based photovoltaic generation system with maximum power tracking control using ANFIS. IEEE Transactions on Sustainable Energy, 4(1), 11-20.
  • [28] Mahmud, N., Zahedi, A., and Mahmud, A. (2017), A cooperative operation of novel PV inverter control scheme and storage energy management system based on ANFIS for voltage regulation of grid-tied PV system. IEEE Transactions on Industrial Informatics, 13(5), 2657-2668.
Year 2022, Issue: 050, 150 - 168, 30.09.2022

Abstract

References

  • [1] Hu X., Zou Y., Yang Y., (2016), Greener plug-in hybrid electric vehicles incorporating renewable energy and rapid system optimization, Energy, 111: 971-980.
  • [2] Xue Y., Chang L., Kjær S.B., Bordonau J., and Shimizu T., (2004), Topologies of Single-Phase Inverters for Small Distributed Power Generators: An Overview, IEEE Transactions on Power Electronics,19, 1305-1314.
  • [3] Fei, J., and Zhu, Y., (2017), Adaptive fuzzy sliding control of single-phase PV grid-connected inverter, Plos one, 12(8), e0182916.
  • [4] Jubaer, A., and Zainal, S., (2015), An improved perturb and observe (PandO) maximum power point tracking (MPPT) algorithm for higher efficiency, Appl. Energy, 150, 97–108. doi:10.1016/j.apenergy.2015.04.006
  • [5] Saharia, B. J., and Saharia, K. K., (2016), Simulated study on nonisolated DC-DC converters for MPP tracking for photovoltaic power systems, Journal of Energy Engineering, 142(1), 04015001. doi: 10.1061/(ASCE)EY.1943-7897.0000261
  • [6] Safari, A., and Mekhilef, S., (2010), Simulation and hardware implementation of incremental conductance MPPT with direct control method using cuk converter, IEEE T. Ind. Electr., 58(4), 1154-1161. doi:10.1109/TIE.2010.2048834
  • [7] Tey, K.S. and Mekhilef, S. (2014), Modified Incremental Conductance Algorithm for Photovoltaic System Under Partial Shading Conditions and Load Variation, IEEE Trans. Ind. Electron., 61, 5384–5392. doi:10.1109/TIE.2014.2304921
  • [8] Mei, Q., Shan, M., Liu, L., and Guerrero, J. M., (2010), A novel improved variable step-size incremental-resistance MPPT method for PV systems, IEEE T. Ind. Electr., 58(6), 2427-2434. doi:10.1109/TIE.2010.2064275
  • [9] Rezk, H., Fathy, A., and Abdelaziz, A. Y., (2017), A comparison of different global MPPT techniques based on meta-heuristic algorithms for photovoltaic system subjected to partial shading conditions. Renew. Sust. Energy Rev., 74, 377-386. doi:10.1016/j.rser.2017.02.051
  • [10] Daraban, S., Petreus, D., and Morel, C., (2014), 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, 74, 374-388. doi:10.1016/j.energy.2014.07.001
  • [11] Ahmed, J., and Salam, Z. A., (2014), Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability, Appl. Energy, 119, 118-130. doi:10.1016/j.apenergy.2013.12.062
  • [12] Babu, T. S., Ram, J. P., Dragičević, T., Miyatake, M., Blaabjerg, F., and Rajasekar, N., (2017), Particle swarm optimization based solar PV array reconfiguration of the maximum power extraction under partial shading conditions, IEEE T. Sust. Energy., 9(1), 74-85, doi:10.1109/TSTE.2017.2714905
  • [13] Titri, S., Larbes, C., Toumi, K. Y., and Benatchba, K., (2017), A new MPPT controller based on the Ant colony optimization algorithm for Photovoltaic systems under partial shading conditions, Appl. Soft Comput., 58, 465-479. doi:10.1016/j.asoc.2017.05.017
  • [14] Demirel, Ö., Kakilli, A. and Tektaş, M., (2010), Anfıs Ve Arma Modelleri İle Elektrik Enerjisi Yük Tahmini. Gazi Üniv. Müh. Mim. Fak. Der., 25, 601-610.
  • [15] Kharb, R. K., Shimi, S. L., Chatterji, S., and Ansari, M. F. (2014), Modeling of solar PV module and maximum power point tracking using ANFIS, Renewable and Sustainable Energy Reviews, 33, 602-612. doi:10.1016/j.rser.2014.02.014
  • [16] Chikh, A., and Chandra, A. (2015), An optimal maximum power point tracking algorithm for PV systems with climatic parameters estimation. IEEE Transactions on Sustainable Energy, 6(2), 644-652. doi:10.1109/TSTE.2015.2403845
  • [17] Lasheen, M., and Abdel-Salam, M. (2018), Maximum power point tracking using Hill Climbing and ANFIS techniques for PV applications: A review and a novel hybrid approach. Energy conversion and management, 171, 1002-1019. doi:10.1016/j.enconman.2018.06.003
  • [18] Li-Qun, L., and Zhi-xin, W. (2008), A rapid MPPT algorithm based on the research of solar cell’s diode factor and reverse saturation current. WSEAS Trans. System, 7(5), 568-579.
  • [19] Manual, P. U. (2010), Powersim Technol. Rockville, MD, USA.
  • [20] Dutta, S.; Debnath, D.; Chatterjee, K. A. (2018), Grid-connected single-phase transformerless inverter controlling two solar PV arrays operating under di_erent atmospheric conditions. IEEE Trans. Ind. Electron., 65, 374–385.
  • [21] Hart, D. W., 2010 Hart, D. W., (2010),Power Electronics. New York, McGraw-Hill.
  • [22] Zeb, K., Islam, S. U., Din, W. U., Khan, I., Ishfaq, M., Busarello, T. D. C., and Kim, H. J. (2019), Design of fuzzy-PI and fuzzy-sliding mode controllers for single-phase two-stages grid-connected transformerless photovoltaic inverter. Electronics, 8(5), 520.
  • [23] Da Silva, S. A. O., Novochadlo, R., and Modesto, R. A. (2008, June), Single-phase PLL structure using modified pq theory for utility connected systems. In 2008 IEEE Power Electronics Specialists Conference (pp. 4706-4711), IEEE.
  • [24] Onal, Y. (2021), Analysis of a new SEPIC AC–DC PFC converter for light emitting diode applications. Emerging Materials Research, 11(1), 51-59.
  • [25] Miranda, U. D. A., Rolim, L. G. B., and Aredes, M. (2005, June), A DQ synchronous reference frame current control for single-phase converters. In 2005 IEEE 36th power electronics specialists conference (pp. 1377-1381), IEEE.
  • [26] Jha, R. R., and Srivastava, S. C. (2016, March), Fuzzy Logic and ANFIS controller for grid integration of Solar PhotoVoltaic. In 2016 IEEE 6th International conference on Power Systems (ICPS) (pp. 1-6), IEEE.
  • [27] Abu-Rub, H., Iqbal, A., Ahmed, S. M., Peng, F. Z., Li, Y., and Baoming, G. (2012), Quasi-Z-source inverter-based photovoltaic generation system with maximum power tracking control using ANFIS. IEEE Transactions on Sustainable Energy, 4(1), 11-20.
  • [28] Mahmud, N., Zahedi, A., and Mahmud, A. (2017), A cooperative operation of novel PV inverter control scheme and storage energy management system based on ANFIS for voltage regulation of grid-tied PV system. IEEE Transactions on Industrial Informatics, 13(5), 2657-2668.
There are 28 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Yasemin Önal 0000-0003-0173-0948

Ümit Çiğdem Turhal 0000-0003-2387-1637

Publication Date September 30, 2022
Submission Date May 18, 2022
Published in Issue Year 2022 Issue: 050

Cite

IEEE Y. Önal and Ü. Ç. Turhal, “DEVELOPMENT of an ANFIS BASED CONTROL ALGORITHM for MAXIMUM POWER POINT TRACKING in ON-GRID DOUBLE STAGE SINGLE PHASE PV INVERTER”, JSR-A, no. 050, pp. 150–168, September 2022.