Improve LVRT capability of organic solar arrays by using chaos-based NMPC

Yıl 2024, Cilt: 9 Sayı: 3, 543 - 558, 18.09.2024

Mohammad Mahdi Borhan Elmi , Osman Yıldırım

https://doi.org/10.58559/ijes.1449558

Öz

Electric utilities are continuously scheduling to develop power grids in order to supply the electrical energy demanded by their consumers. The common method is the construction of traditional power plants or development of existing infrastructures. The challenges associated with using fossil fuel, such as environmental pollution and climate changing like glacier melting and rising sea levels, highlight the importance of using green energy sources like photovoltaic systems. In other side, extracting the maximum power under intermittent generated power has a great importance. So, a novel chaotic-based nonlinear model predictive control method is introduced for tracking the maximum power point of organic photovoltaic cells. The proposed approach involves estimating a reference point and adjusting the operating point by using a Lagrangian function. Also, chaotic-based nonlinear model predictive controller is used for controlling the operation of boost converter. According to obtained results, the proposed approach capable of fast tracking as well as improving the ride through capacity.

Anahtar Kelimeler

Low voltage ride through, Chaos theory, Non-linear model predictive control, MPP tracking

Kaynakça

• [1] Menna P, Gambi R, Howes T, Gillett W, Tondi G, Belloni F, Bonis P, Getsiou M. European Photovoltaic Actions and Programmes-2011.
• [2] Razavi AB, Mohammad MBE. Improvement of Voltage Profiles in Mashhad Distribution Systemwith Presence of Rooftop PV. 10th Smart Grid Conference (SGC), IEEE, 2020.
• [3] Borhan, Elmi MM, Hamed L, Amir HL. Economic-environmental evaluation of using green energy resources with considering pollution limitations 2023.
• [4] Bouaouaou H, Djaafer L, Nasserdine B. Model predictive control and ANN-based MPPT for a multi-level grid-connected photovoltaic inverter Electrical Engineering 2022; 104(3): 1229-1246.
• [5] Derbeli M, Cristian N, Oscar B, Jesus S, Isidro C, Pablo FB. Maximum power point tracking techniques for photovoltaic panel: A review and experimental applications. Energies 2021; 14(22): 7806.
• [6] Mosa M, Mohammad B, Shadmand RSB, Haitham AR. Efficient maximum power point tracking using model predictive control for photovoltaic systems under dynamic weather condition IET Renewable Power Generation 2017;11(11): 1401-1409.
• [7] Abdel-Rahim, Omar, Haoyu Wang. A new high gain DC-DC converter with model-predictive-control based MPPT technique for photovoltaic systems. CPSS Transactions on Power Electronics and Applications 2020; 5(2): 191-200.
• [8] Rampradesh T, Christober AR. Performance assessment of NMPC based MPPT controller and extended Kalman filter for a Wind/PV hybrid system. 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2021.
• [9] Mei H, Chunjuan J, Jun F, Xiaoming L. Low voltage ride through control strategy for MMC photovoltaic system based on model predictive control. International Journal of Electrical Power & Energy Systems 2021; 125: 106530.
• [10] Mehta, Hitesh K, Himanshu W, Kaushik K, Ashish KP. Accurate expressions for single-diode-model solar cell parameterization. IEEE Journal of Photovoltaics 2019; 9(3): 803-810.
• [11] Hejri, Mohammad, Hossein M, Mohammad RA, Mehrdad G, Lennart S. On the parameter extraction of a five-parameter double-diode model of photovoltaic cells and modules. IEEE Journal of Photovoltaics 2014; 4(3): 915-923.
• [12] Moliton A, Jean‐Michel N. How to model the behaviour of organic photovoltaic cells. Polymer International 2006; 55(6): 583-600.
• [13] Kippelen B. Organic photovoltaics. Optics and Photonics News 2007; 18(10): 26-33.
• [14] Tahir F, Imad MJ. Robust feedback model predictive control of constrained uncertain systems. Journal of Process Control 2013; 23(2): 189-200.
• [15] Piccoli, Emanuele, Alessandro D, Alberto D, Sonia L. Experimental validation of a model for PV systems under partial shading for building integrated applications. Solar Energy 2019; 183:356-370.
• [16] Pecora, Louis M, Thomas LC. Synchronization in chaotic systems. Physical review letters 1990; 64(8): 821.
• [17] Liu, Zhijian, Zhao J, Guiqiang L, Xudong Z, Ali B. Study on the performance of a novel photovoltaic/thermal system combining photocatalytic and organic photovoltaic cells. Energy Conversion and Management 2022; 251: 114967.
• [18] Uvais, Mohd, Asif JA, Mohammed A. Modeling and Analysis of Organic Solar Cells Using Multiple Diodes. 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), 2022.
• [19] Meddour, Sami, Djamel R, Ali YC, Walid H, Laib H. A novel approach for PV system based on metaheuristic algorithm connected to the grid using FS-MPC controller. Energy Procedia 2019; 162: 57-66.