Previous |  Up |  Next

Article

Title: A family of Lyapunov-based control schemes for maximum power point tracking in buck converters (English)
Author: Álvarez, Jorge
Author: Ruiz, Jorge
Author: Bernal, Miguel
Language: English
Journal: Kybernetika
ISSN: 0023-5954 (print)
ISSN: 1805-949X (online)
Volume: 59
Issue: 2
Year: 2023
Pages: 294-313
Summary lang: English
.
Category: math
.
Summary: This paper presents a novel family of Lyapunov-based controllers for the maximum power point tracking problem in the buck converter case. The solar power generation system here considered is composed by a stand-alone photovoltaic panel connected to a DC/DC buck converter. Lyapunov function candidates depending on the output are considered to develop conditions which, in some cases, can be expressed as linear matrix inequalities; these conditions guarantee that the output goes asymptotically to zero, thus implying that the MPPT is achieved. Simulation and real-time results are presented, which validate the effectiveness of the proposals. (English)
Keyword: solar energy
Keyword: photovoltaic panel
Keyword: maximum power point tracking
Keyword: Lyapunov method
Keyword: convex model
Keyword: linear matrix inequalities
MSC: 47N70
MSC: 93C10
MSC: 93D30
idMR: MR4600379
DOI: 10.14736/kyb-2023-2-0294
.
Date available: 2023-06-19T09:10:48Z
Last updated: 2023-08-04
Stable URL: http://hdl.handle.net/10338.dmlcz/151697
.
Reference: [1] Abdelaziz, A. Y., Almoataz, Y.: Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems..Springer, 2020.
Reference: [2] Algazar, M. M, El-Halim, H. A., Salem, M. E. El Kotb, al., et: Maximum power point tracking using fuzzy logic control..Int. J. Electr.Power Energy Systems 39 (2012), 1, 21-28.
Reference: [3] Artstein, Z.: Stabilization with relaxed controls..Nonlinear Analysis: Theory Methods Appl. 7 (1983), 11, 1163-1173. Zbl 0525.93053, MR 0721403,
Reference: [4] Bahgat, A. B. G., Helwa, N. H., Ahmad, G. E., Shenawy, E. T. El: Maximum power point traking controller for pv systems using neural networks..Renewable Energy 30 (2008), 8, 1257-1268.
Reference: [5] Benedek, J., Sebestyén, T.-T., Bartók, B.: Evaluation of renewable energy sources in peripheral areas and renewable energy-based rural development..Renewable Sustainable Energy Rev. 90 (2018), 516-535.
Reference: [6] Bernal, M., Hušek, P., Kučera, V.: Non quadratic stabilization of continuous-time systems in the Takagi-Sugeno form..Kybernetika 42 (2006), 6, 665-672. MR 2296507,
Reference: [7] Bernal, M., Sala, A., Lendek, Z., Guerra, T. M.: Analysis and Synthesis of Nonlinear Control Systems: A Convex Optimisation Approach..Springer, Cham 2022. MR 4397563
Reference: [8] Bharath, K. R., Suresh, E.: Design and implementation of improved fractional open circuit voltage based maximum power point tracking algorithm for photovoltaic applications..Int. J. Renewable Energy Ress. (IJRER) 7 (2017), 3, 1108-1113.
Reference: [9] Boyd, S., ElGhaoui, L., Féron, E., Balakrishnan, V.: Linear Matrix Inequalities in System and Control Theory..Studies in Applied Mathematics 15, Philadelphia 1994. MR 1284712
Reference: [10] Chiu, Ch. S.: Ts fuzzy maximum power point tracking control of solar power generation systems..IEEE Trans. Energy Convers. 25 (2010). 4, 1123-1132.
Reference: [11] Chiu, Ch. S., Ouyang, Y. L.: Robust maximum power tracking control of uncertain photovoltaic systems: A unified ts fuzzy model-based approach..IEEE Trans. Control Systems Technol. 19 (2011), 6, 1516-1526.
Reference: [12] M, Z., Dalala, Zahid, Z. U., Yu, W., Cho, Y., Lai, J.-S.: Design and analysis of an mppt technique for small-scale wind energy conversion systems..IEEE Trans. Energy Convers. 28 (2013), 3, 756-767.
Reference: [13] Elgendy, M. A., Zahawi, B., Atkinson, D. J.: Assessment of the incremental conductance maximum power point tracking algorithm..IEEE Trans. Sustainable Energy 4 (2012), 1, :108-117.
Reference: [14] Faranda, R., Leva, S., Maugeri, V.: MPPT techniques for PV systems: Energetic and cost comparison..In: 2008 IEEE Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century,IEEE 2008, pp. 1-6.
Reference: [15] Gahinet, P., Nemirovsky, A., Laub, A. J., Chilali, M.: LMI Control Toolbox..Math Works, Natick 1995.
Reference: [16] Gupta, A. K., Saxena, R.: Review on widely-used MPPT techniques for PV applications..In: 2016 International Conference on Innovation and Challenges in Cyber Security (ICICCS-INBUSH), IEEE 2016, pp. 270-273.
Reference: [17] Khalil, H. K.: Nonlinear Control..Pearson Higher Ed, 2014.
Reference: [18] Lalili, D., Mellit, A., Lourci, N., Medjahed, B., Berkouk, E. M.: Input output feedback linearization control and variable step size mppt algorithm of a grid-connected photovoltaic inverter..Renewable Energy 36 (2011), 12, 3282-3291.
Reference: [19] Mahmoud, Y., Abdelwahed, M., El-Saadany, E. F.: An enhanced mppt method combining model-based and heuristic techniques..IEEE Trans. Sustainable Energy 7 (2015), 2, 76-585.
Reference: [20] Mao, M., Zhang, L., Yang, L., Chong, B., Huang, H., Zhou, L.: MPPT using modified salp swarm algorithm for multiple bidirectional pv-ćuk converter system under partial shading and module mismatching..Solar Energy 209 (2020), 334-349.
Reference: [21] Mokhtari, Y., Rekioua, D.: High performance of maximum power point tracking using ant colony algorithm in wind turbine..Renewable Energy 126 (2018), 1055-1063.
Reference: [22] Owusu, P. A., Asumadu-Sarkodie, S.: A review of renewable energy sources, sustainability issues and climate change mitigation..Cogent Engrg. 3 (2016), 1, 1167990.
Reference: [23] Pandey, A., Dasgupta, N., Mukerjee, A. K.: High-performance algorithms for drift avoidance and fast tracking in solar mppt system.
Reference: [24] Pilakkat, D., Kanthalakshmi, S.: An improved p&o algorithm integrated with artificial bee colony for photovoltaic systems under partial shading conditions..Solar Energy 178 (2019), 37-47.
Reference: [25] Qazi, A., Hussain, F., Rahim, N. A. B. D., Hardaker, G., Alghazzawi, D., Shaban, K., Haruna, K.: Towards sustainable energy: a systematic review of renewable energy sources, technologies, and public opinions..IEEE Acess 7 (2019), 63837-63851.
Reference: [26] Salimi, M.: Practical implementation of the lyapunov based nonlinear controller in dc-dc boost converter for mppt of the pv systems..Solar Energy 173 (2018), 246-255.
Reference: [27] Sandali, A., Oukhoya, T., Cheriti, A.: Modeling and design of pv grid connected system using a modified fractional short-circuit current mppt..In: 2014 International Renewable and Sustainable Energy Conference (IRSEC), IEEE 2014, pp. 224-229.
Reference: [28] Sera, D., Mathe, L., Kerekes, T., Spataru, S. V., Teodorescu, R.: On the perturb-and-observe and incremental conductance mppt methods for pv systems..IEEE J. Photovoltaics 3 (2013), 3, :1070-1078.
Reference: [29] Sokolov, M., Shmilovitz, D.: A modified mppt scheme for accelerated convergence..IEEE Trans. Energy Convers. 23 (2008), 4, 1105-1107.
Reference: [30] Sontag, E. D.: A universal construction of artstein's theorem on nonlinear stabilization..Systems Control Lett. 13 (1989), 2, 117-123. MR 1014237,
Reference: [31] Taniguchi, T., Tanaka, K., Wang, H. O.: Model contruction, rule reduction and robust compensation for generalized form of Takagi-Sugeno fuzzy systems..IEEE Trans. Fuzzy Systems 9 (2001), 4, 525-538.
.

Files

Files Size Format View
Kybernetika_59-2023-2_7.pdf 1.340Mb application/pdf View/Open
Back to standard record
Partner of
EuDML logo