238
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

Dynamic MPPT Controller Using Cascade Neural Network for a Wind Power Conversion System with Energy Management

, , , &

References

  • C. N. Bhende, S. Mishra, and S. G. Malla, “Permanent magnet synchronous generator-based standalone wind energy supply system,” IEEE Trans. Sustain. Energy, Vol. 2, no. 4, pp. 361–73, 2011.
  • S. Lu, L. Wang, S. Member, T. Lo, and A. V. Prokhorov, “Integration of wind power and wave power generation systems using a DC microgrid,” IEEE Trans. Ind. Appl., Vol. 51, no. 4, pp. 2753–61, 2015.
  • A. S. Satpathy, N. K. Kishore, S. Member, D. Kastha, and N. C. Sahoo, “Control scheme for a stand-alone wind energy conversion system,” IEEE Trans. Energy Convers., Vol. 29, no. 2, pp. 418–25, 2014.
  • Y. Wang, Z. Zhou, A. Botterud, K. Zhang, and Q. Ding, “Stochastic coordinated operation of wind and battery energy storage system considering battery degradation,” J. Modern Power Syst. Clean Energy, Vol. 4, no. 4, pp. 581–92, 2016.
  • E. A. El-Hay, “Effective control strategy based-on MPPT for stand-alone wind-driven PMSG with zero-current switching boost converter,” Aust. J. Electr. Electron. Eng., Vol. 15, no. 3, pp. 86–97, 2018.
  • R. Aubrée, F. Auger, M. Macé, and L. Loron, “Design of an efficient small wind-energy conversion system with an adaptive sensorless MPPT strategy,” Renewable Energy, Vol. 86, pp. 280–91, 2016.
  • M. Rahimi, “Electrical power and energy systems modeling, control and stability analysis of grid connected PMSG based wind turbine assisted with diode rectifier and boost converter,” Int. J. Electr. Power Energy Syst., Vol. 93, pp. 84–96, 2017.
  • M. Kesraoui, N. Korichi, and A. Belkadi, “Maximum power point tracker of wind energy conversion system,” Renewable Energy, Vol. 36, no. 10, pp. 2655–62, 2011.
  • R. I. Putri, M. Pujiantara, A. Priyadi, T. Ise, and M. H. Purnomo, “Maximum power extraction improvement using sensorless controller based on adaptive perturb and observe algorithm for PMSG wind turbine application,” IET Electr. Power Appl., Vol. 12, no. 4, pp. 455–62, 2018.
  • J. Sahoo, S. Samanta, and S. Bhattacharyya, “Adaptive PID controller with P&O MPPT algorithm for photovoltaic system,” IETE. J. Res., Vol. 2063, pp. 1–12, 2018.
  • J. Sahoo, S. Samanta, and S. Bhattacharyya, “Adaptive PID controller with P&O MPPT algorithm for photovoltaic system,” IETE. J. Res. 2018. doi:10.1080/03772063.2018.1497552.
  • D. Zammit, C. S. Staines, A. Micallef, M. Apap, and J. Licari, “Incremental current based MPPT for a PMSG micro wind turbine in a grid-connected DC microgrid,” Energy Procedia, Vol. 142, pp. 2284–94, 2017.
  • J. Husssain, and M. K. Mishra, “Adaptive maximum power point tracking control algorithm for wind energy conversion systems,” IEEE Trans. Energy Convers., Vol. 31, no. 2, pp. 697–705, 2016.
  • S. Lalouni, D. Rekioua, K. Idjdarene, and A. Tounzi, “Maximum power point tracking-based hybrid hill-climb search method applied to wind energy conversion system,” Electr. Power Compon. Syst., Vol. 43, no. 8–10, pp. 1028–38, 2015.
  • M. A. Abdullah, A. H. M. Yatim, C. W. Tan, and R. Saidur, “A review of maximum power point tracking algorithms for wind energy systems,” Renew. Sustain. Energy Rev., Vol. 16, no. 5, pp. 3220–7, 2012.
  • C. Lee, P. Chen, and Y. Shen, “Expert systems with applications maximum power point tracking (MPPT) system of small wind power generator using RBFNN approach,” Expert. Syst. Appl., Vol. 38, no. 10, pp. 12058–65, 2011.
  • O. Mostafa Soliman, P. Malik, and D. T. Westwick, “Multiple model predictive control for wind turbines with doubly fed induction generators,” IEEE Trans. Sustain. Energy, Vol. 2, no. 3, pp. 215–25, 2011.
  • A. Z. Mohamed, M. N. Eskander, and F. A. Ghali, “Fuzzy logic control based maximum power tracking of a wind energy system,” Renew. Energy, Vol. 23, pp. 235–45, 2001.
  • A. Askarzadeh, and M. Zebarjadi, “Wind power modeling using harmony search with a novel parameter setting approach,” J. Wind Eng. Ind. Aerodyn., Vol. 135, pp. 70–5, 2014.
  • W. M. Lin, C.-M. Hong, and F.-S. Cheng, “Fuzzy neural network output maximization control for sensorless wind energy conversion,” Syst. Energy, Vol. 35, pp. 592–601, 2010.
  • B. Singh, and S. Sharma, “Neural network based voltage and frequency controller for isolated wind power generation,” IETE. J. Res., Vol. 57, no. 5, pp. 467, 2011.
  • E. Assareh, and M. Biglari, “A novel approach to capture the maximum power generation from wind turbines using hybrid MLP neural network and Bees algorithm (HNNBA),” IETE. J. Res., Vol. 62, no. 3, pp. 368–78, 2016.
  • A. Venkadesan, S. Himavathi, K. Sedhuraman, and A. Muthuramalingam, “Design and FPGA implementation of cascade neural network based flux estimator for speed estimation in IM drives,” Neural Comput. Appl., Vol. 11, no. 1, pp. 1–32, 2017.
  • J. S. Thongam, P. Bouchard, R. Beguenane, and I. Fofana, “Neural network based wind speed sensorless MPPT controller for variable speed wind energy conversion systems,” in 2010 IEEE Electrical Power & Energy Conference, Halifax, NS, Aug. 25–27, 2010.
  • F. Jaramillo-lopez, G. Kenne, and F. Lamnabhi-lagarrigue, “A novel online training neural network-based algorithm for wind speed estimation and adaptive control of PMSG wind turbine system for maximum power extract,” Renew. Energy, Vol. 86, pp. 38–48, 2016.
  • A. Venkadesan, S. Himavathi, K. Sedhuraman, and A. Muthuramalingam, “Design and field programmable gate array implementation of cascade neural network based flux estimator for speed estimation in induction motor drives,” IET Electr. Power Appl., Vol. 11, no. 1, pp. 121–31, 2017.
  • M. T. Makhloufi, Y. Abdessemed, and M. S. Khireddine, “An efficient ANN-based MPPT optimal controller of a DC/DC boost converter for photovoltaic systems,” Automatika, Vol. 57, no. 1, pp. 109–19, 2016.
  • M. M. Rajan Singaravel, and S. Arul Daniel, “Studies on battery storage requirement of PV fed wind-driven induction generators,” Energy Convers. Manage., Vol. 67, pp. 34–43, 2013.
  • A. M. O. Haruni, M. Negnevitsky, M. E. Haque, and A. Gargoom, “A novel operation and control strategy for a standalone hybrid renewable power system,” IEEE Trans. Sustain. Energy, Vol. 4, no. 2, pp. 402–13, Apr. 2013.
  • R. Kot, M. Rolak, and M. Malinowski, “Comparison of maximum peak power tracking algorithms for a small wind turbine,” Math. Comput. Simul., Vol. 91, pp. 29–40, 2013.
  • D. Nguyen, and B. Widrow, “Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights,” in IJCNN international joint conference on neural networks, IEEE, 1990, pp. 21–6.
  • J. S. Smith, B. Wu, and B. M. Wilamowski, “Neural network training with Levenberg–Marquardt and adaptable weight compression,” IEEE Trans. Neural Netw. Learn. Syst., Vol. 30, no. 2, pp. 580–7, Feb. 2019.
  • A. Basu, S. Mohanty, and R. Sharma, “Designing of the PID and FOPID controllers using conventional tuning techniques,” in In 2016 International conference on inventive computation technologies (ICICT), 2016, pp. 1–6.
  • K. W. E. Cheng, B. P. Divakar, H. Wu, K. Ding, and H. F. Ho, “Battery-management system (BMS) and SOC development for electrical vehicles,” IEEE Trans. Veh. Technol., Vol. 60, no. 1, pp. 76–88, Jan. 2011.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.