A novel Lyapunov-based nonlinear controller design for model-based maximum power point tracking of thermoelectric generators

Document Type : Research Article

Authors

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

2 Faculty of Engineering and Science, University of Greenwich, Kent, UK.

3 Faculty of Electronic and Computer Engineering, K.N. Toosi University of Technology, Tehran, Iran.

10.24200/sci.2023.61170.7177

Abstract

A novel model-based approach for closed-loop control and Maximum Power Point (MPP) tracking of Thermoelectric Generators (TEG) has been presented using the nonlinear Lyapunov-based approach. As the TEG power derivative is always zero at MPP, it can be employed as a feedback signal for the controller. Hence, the reference value of the controller will always be zero, which simplifies the controller structure significantly. Since the reference calculation block can be removed, there is no need for a cascade multi-loop controller, which can improve the controller's dynamic response. Due to the elimination of the reference calculation unit, the proposed controller demonstrates superior performance, e.g., during temperature and load changes. The asymptotic stability of the proposed controller has been proved. To evaluate the accuracy of the controller, it is simulated using MATLAB software. Moreover, the experimental responses are provided by employing the TMS320F28335 DSP from Texas Instruments. According to the simulation and experimental results, and despite temperature and load changes over a wide range, the closed-loop system shows stable and robust performance as well as fast dynamic response and zero steady-state error. Finally, the response of the proposed controller is at least two times faster than the Perturb and Observe (P\O) controller.

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Main Subjects

References

References
1. Ibrahim, M., Rezk, H., Al-Dahifallah, M., et al. “Hybrid photovoltaic-thermoelectric generator powered synchronous reluctance motor for pumping applications”, IEEE Access, 7(1), pp. 146979-146988 (2019). https://doi.org/10.1109/ACCESS.2019.2945990
2. Panwar, N.L. and Kumar, H. “Waste heat recovery from improved cookstove through thermoelectric generator”, International Journal of Ambient Energy, 43(1), pp. 466-470 (2022). https://doi.org/10.1080/01430750.2019.1653978
3. Anandasabesan, A., Mahamani, S., Soundararajan, H., et al. “Work-in-progress: Smart automatic regeneration of electricity using thermoelectric generator technology”, 4th International Conference on Computing and Communications Technologies (ICCCT), pp. 484-488 (2021). https://doi.org/10.1109/ICCCT53315.2021.9711775
4. Yahya, K. and Alomari, O. “A new maximum power point tracking algorithm based on power differentials method for thermoelectric generators”, Int J Energy Res., 45, pp. 7476-7486 (2021). https://doi.org/10.1002/er.6329
5.Montecucco, A. and Knox, A. “MPP tracking converter based on the open-circuit voltage method for thermoelectric generators”, IEEE Transactions on Power Electronics, 30(2), pp. 828-839 (2015). https://doi.org/10.1109/TPEL.2014.2313294
6.Ranjana, A. “Thermodynamic investigations with MPP Tracking (MPPT) of hybrid thermoelectric generator-heat pump model”, International Journal of Ambient Energy, 43(1), pp. 2466–2474 (2022). https://doi.org/10.1080/01430750.2020.1739140
7.Hernández-Díez, J., Méndez-Barrios, C., Niculescu, S., et al. “A current sensorless delay–based control scheme for MPPT–boost converters in photovoltaic systems”, In IEEE Access, 8, pp. 174449-174462 (2020). https://doi.org/10.1109/ACCESS.2020.3024566
8.Dadkhah, J. and Niroomand, M. “Optimization methods of MPPT parameters for PV systems: Review, classification, and comparison”, Journal of Modern Power Systems and Clean Energy, 9(2), pp. 225-236 (2021). https://doi.org/10.35833/MPCE.2019.000379
9.Selmi, T., Abdul-Niby, M., Devis, L., et al. “P&O MPPT implementation using MATLAB/Simulink”, Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER), pp. 1-4 (2014). https://doi.org/10.1109/EVER.2014.6844065
10.Aslam, M. and Tariq, A. “Transient analysis and selection of perturbation parameters for PV-MPPT implementation”, International Journal of Ambient Energy, 41(10), pp. 1176-1182 (2020). https://doi.org/10.1080/01430750.2018.1517661
11.Aldhaifallah, M., Saif, A., Baroudi, U., et al. “Fractional incremental resistance based MPPT for thermoelectric generation systems”, 18th International Multi-Conference on Systems, Signals & Devices (SSD), pp. 902-907 (2021). https://doi.org/10.1109/SSD52085.2021.9429510
12.Bhattacharyya, S., Kumar, P., Samanta, S., et al. “Steady output and fast tracking MPPT (SOFT-MPPT) for P&O and InC algorithms”, IEEE Transactions on Sustainable Energy., 12(1), pp. 293-302 (2021). https://doi.org/10.1109/TSTE.2020.2991768
13.Bertin, C., Wira, P., Kamta, M., et al. “Real-time experimental assessment of hill climbing MPPT algorithm enhanced by estimating a duty cycle for PV system”, International Journal of Renewable Energy Research, IJRER, 9(3), pp. 1180-1189 (2019). https://doi.org/10.20508/ijrer.v9i3.9432.g7705
14.Karthika, S., Asok, M., Mohan, M., et al. “An enhanced P and O algorithm for MPP tracking”, International Conference on Futuristic Technologies in Control Systems and Renewable Energy (ICFCR), pp. 1-6 (2020). https://doi.org/10.1109/ICFCR50903.2020.9249985
15.Jiandong, D., Ma, X., and Tuo, S. “A variable step size P&O MPPT algorithm for three-phase grid-connected PV systems”, China International Conference on Electricity Distribution (CICED), pp. 1997-2001 (2018). https://doi.org/10.1109/CICED.2018.8592040
16.Divyasharon, R., Narmatha, R., and Devaraj, D. “Artificial neural network based MPPT with CUK converter topology for PV systems under varying climatic conditions”, IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), pp. 1-6 (2019). https://doi.org/10.1109/INCOS45849.2019.8951321
17.Hariz, Z., Hicham, A., and Mohammed, D. “A novel optimiser of MPPT by using PSO-AG and PID controller”, International Journal of Ambient Energy, 43(1), pp. 5199-5206 (2022). https://doi.org/10.1080/01430750.2021.1934116
18.Hoang, T., Nguyen, X., Le, A., et al. “Power generation characteristics of a thermoelectric modules-based power generator assisted by fishbone-shaped fins: Part II – Effects of cooling water parameters”, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 43(3), pp. 381-393 (2021). https://doi.org/10.1080/15567036.2019.1624891
19.Feroz Mirza, A., Mansoor, M., Zerbakht, K., et al. “High-efficiency hybrid PV-TEG system with intelligent control to harvest maximum energy under various non-static operating conditions”, Journal of Cleaner Production, 320, 128643 (2021). https://doi.org/10.1016/j.jclepro.2021.128643
20.Bollipo, R., Mikkili S., and Bonthagorla, P. “Hybrid, optimal, intelligent and classical PV MPPT techniques: A review”, In CSEE Journal of Power and Energy Systems, 7(1), pp. 9-33 (2021). https://doi.org/10.17775/CSEEJPES.2019.02720
21.Zhang, X., Yang, B., Yu, T., et al. “Dynamic surrogate model-based optimization for MPPT of centralized thermoelectric generation systems under heterogeneous temperature difference”, IEEE Transactions on Energy Conversion, 35(2), pp. 966-976 (2020). https://doi.org/10.1109/TEC.2020.2967511
22.Sudwilai, P. “A design and development of PI controlled based MPPT for photovoltaic systems”, 21st International Conference on Electrical Machines and Systems (ICEMS), pp. 992-995 (2018). https://doi.org/10.23919/ICEMS.2018.8549278
23.Lawan, A., Magaji, N., and Musa, H. “A STATCOM controller for small signal stability using polynomial algorithms in a horizontal axis wind farm power system”, IEEE Energytech, 6645287 (2013). https://doi.org/10.1109/EnergyTech.2013.6645287
24.Kabalci, E., Gokkus, G., and Gorgun, A. “Design and implementation of a PI-MPPT based Buck-Boost converter”, 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Bucharest, Romania, pp. SG-23-SG-28 (2015).https://doi.org/10.1109/ECAI.2015.7301194
25.Kumar. M., Satya, S., and Vulasala, G. “Advanced sliding mode control for solar PV array with fast voltage tracking for MPP algorithm”, International Journal of Ambient Energy, 41(10), pp. 1192-1200 (2020). https://doi.org/10.1080/01430750.2018.1492448
26.Pradhan, R. and Subudhi, B. “Double integral sliding mode MPPT control of a photovoltaic system”, IEEE Transactions on Control Systems Technology, 24(1), 285-292 (2016). https://doi.org/10.1109/TCST.2015.2420674
27.Kamal, T., Karabacak, M., Hassan, S., et al. “A robust online adaptive B-spline MPPT control of three-phase Grid-coupled photovoltaic systems under real partial shading condition”, IEEE Transactions on Energy Conversion 34(1), pp. 202-210 (2019). https://doi.org/10.1109/TEC.2018.2878358
28.Veisi, A. and Delavari, H. “Adaptive fractional order control of photovoltaic power generation system with disturbance observer”, 7th International Conference on Control, Instrumentation and Automation (ICCIA), pp. 1-5 (2021). https://doi.org/10.1109/ICCIA52082.2021.9403598
29.Wang, N., Zhang, J., Ni, H., et al. “Improved MPPT system based on FTSMC for thermoelectric generator array under dynamic temperature and impedance”, In IEEE Transactions on Industrial Electronics, 69(10), pp. 10715-10723 (2022). https://doi.org/10.1109/TIE.2022.3152007
30.Bond, M. and Park, J. “Current-sensorless power estimation and MPPT implementation for thermoelectric generators”, In IEEE Transactions on Industrial Electronics, 62(9), pp. 5539-5548 (2015). https://doi.org/10.1109/TIE.2015.2414393
31.Abdelsalam, A., Massoud, A., Ahmed, S., et al. “High-performance adaptive perturb and observe MPPT technique for photovoltaic-based microgrids”, In IEEE Transactions on Power Electronics, 26(4), pp. 1010-1021 (2011). https://doi.org/10.1109/TPEL.2011.2106221
Scientia Iranica
Volume 32, Issue 15
Transactions on Computer Science & Engineering and Electrical Engineering
July and August 2025 Article ID:7177

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History

  • Receive Date: 25 September 2022
  • Revise Date: 26 December 2022
  • Accept Date: 11 April 2023

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