72
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

Intelligent Controller Design and Fault Prediction for Renewable Energy Sources Using Bi-directional GRU and GEO Methods

, , , , , & show all
Pages 277-291 | Received 13 Mar 2023, Accepted 22 May 2023, Published online: 02 Aug 2023

References

  • S. Jafari, Z. Shahbazi, and Y. Byun, “Designing the controller-based urban traffic evaluation and prediction using model predictive approach,” Appl. Sci., vol. 12, no. 4, p. 1992, Feb. 2022. DOI: 10.3390/app12041992.
  • J. Juang and K. Tu, “Design and realization of a hybrid intelligent controller for a twin rotor mimo system,” J. Marine Sci. Technol., vol. 21, no. 3, pp. 333–341, June 2013. DOI: 10.6119/JMST-012-1026-1.
  • S. Liang and Y. Zhang, “Intelligent attitude fault-tolerant control of space tumbling target fly-around based on RBF neural network,” IEEE Access, vol. 11, pp. 6610–6622, Jan. 2023. DOI: 10.1109/ACCESS.2023.3237565.
  • Z. Zhen, C. Ruijuan, N. Dong, Y. Du, X. Li, and X. Bin, “Design and testing of an intelligent control system for maize picking harvest,” Appl. Sci., vol. 10, no. 24, p. 8888, Dec. 2020. DOI: 10.3390/app10248888.
  • Y. Leng, J. Qi, Y. Liu, and F. Zhu, “Design of dry-type transformer temperature controller based on internet of things,” IJES, vol. 12, no. 3, pp. 380–392, Apr. 2020. DOI: 10.1504/IJES.2020.107043.
  • S. He, X. Xu, J. Xie, F. Wang, and Z. Liu, “Fault diagnosis strategy of autonomous steering system for intelligent vehicle based on state estimation,” 6th CAA Int. Conf. Veh. Control Intell. (CVCI), Dec. 2022, pp. 1–6. DOI: 10.1109/CVCI56766.2022.9964723.
  • P. Yang, Z. Zhang, H. Geng, B. Jiang, and X. Hu, “Intelligent discrete sliding mode predictive fault-tolerant control method for multi-delay quad-rotor UAV system based on DIECOA,” Aerospace, vol. 9, no. 4, p. 207, Apr. 2022. DOI: 10.3390/aerospace9040207.
  • D. Shi, S. Li, K. Liu, Y. Wang, R. Liu, and J. Guo, “Adaptive energy management strategy based on intelligent prediction of driving cycle for plug − in hybrid electric vehicle,” Processes, vol. 10, no. 9, p. 1831, Sept. 2022. DOI: 10.3390/pr10091831.
  • D. Wu, J. Wang, C. Du, and S. Wan, “Coordinated control of path tracking and stability for intelligent 4WID electric vehicle based on variable prediction horizon,” 6th CAA Int. Conf. Veh. Control Intell. (CVCI), Dec. 2022, pp. 1–7. DOI: 10.1109/CVCI56766.2022.9964711.
  • Q. Chen, X. Dong, G. Tu, D. Wang, B. Zhao, and Z. Peng, “TFN: an Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis,” ArXiv, vol. 209, pp. 1–20, Sept. 2022. DOI: 10.48550/arXiv.2209.01992.
  • P. Khemmook and S. Khomfoi, “Transient stability improvement using coordinated control of solar PVs and solid state transformers,” IREE, vol. 13, no. 6, p. 486, Dec. 2018. DOI: 10.15866/iree.v13i6.15869.
  • M. Hosseinzadeh and F. R. Salmasi, “Robust optimal power management system for a hybrid AC/DC micro-grid,” IEEE Trans. Sustain. Energy, vol. 6, no. 3, pp. 675–687, Apr. 2015. DOI: 10.1109/TSTE.2015.2405935.
  • N. Komninos, E. Philippou, and A. Pitsillides, “Survey in smart grid and smart home security: issues, challenges and countermeasures,” IEEE Commun. Surv. Tutorials, vol. 16, no. 4, pp. 1933–1954, April 2014. DOI: 10.1109/COMST.2014.2320093.
  • T. T. Teo, L. Thillainathan, W. L. Woo, and K. Abidi, “Intelligent controller for energy storage system in grid-connected microgrid,” IEEE Trans. Syst. Man Cybern, Syst., vol. 51, no. 1, pp. 650–658, Dec. 2018. DOI: 10.1109/TSMC.2018.2881458.
  • V. K. Tatikayala and S. Dixit, “AC side controller for grid connected hybrid renewable energy sources,” IEEE 2nd Int. Conf. Smart Technol. Power Energy Control (STPEC), Feb. 2022, pp. 1–5. DOI: 10.1109/STPEC52385.2021.9718698.
  • G. M. Madhuri, “Grid connected multilevel inverter for renewable energy systems,” Procedia Technol., vol. 21, pp. 636–642, 2015. DOI: 10.1016/j.protcy.2015.10.076.
  • M. K. Patnala and K. N. Babu, “Grid connected multilevel power converter for renewable energy systems,” IJRAR – Int. J. Res. Anal. Rev. (IJRAR), vol. 6, no. 2, pp. 15–21, 2019. DOI: 10.1016/j.protcy.2015.10.076.
  • I. Alsaidan, P. Chaudhary, M. Alaraj, and M. M. Rizwan, “An intelligent approach to active and reactive power control in a grid-connected solar photovoltaic system,” Sustainability, vol. 13, no. 8, p. 4219, Apr. 2021. DOI: 10.3390/su13084219.
  • C. Raghavendran, M. Sadees, J. Preetha Roselyn, and D. Devaraj, “An intelligent energy management system for grid connected DFIG based wind system,” IEEE Int. Conf. Intell. Tech. Control Optim. Signal Process. (INCOS), Jan. 2020, pp. 1–5. DOI: 10.1109/INCOS45849.2019.8951316.
  • A. Shalini and S. Revathi, “Power generation forecasting using deep learning CNN-based BILSTM technique for renewable energy systems,” J. Intell. Fuzzy Syst., vol. 43, no. 6, pp. 8247–8262, Nov. 2022. DOI: 10.3233/JIFS-220307.
  • R. Geethanjali and R. Sivakumar, “Design of intelligent controller for PEM fuel cell,” 3rd Int. Conf. Sci. Technol. Eng. Manage. (ICONSTEM), Jan. 2017, pp. 1050–1053. DOI: 10.1109/ICONSTEM.2017.8261316.
  • S. Kumar, A. K. Singh, A. Kalam, and D. V. Singh, “Improved fault prediction using hybrid machine learning techniques,” 2nd Global Conf. Adv. Technol. (GCAT), Nov. 2021, pp. 1–6. DOI: 10.1109/GCAT52182.2021.9587873.
  • K. Thirumoorthy and J. J. J. Britto, “A clustering approach for software defect prediction using hybrid social mimic optimization algorithm,” Computing, vol. 104, no. 12, pp. 2605–2633, 2022. DOI: 10.1007/s00607-022-01100-6.
  • J. H. Cheng, C. Lu, G. Zhang, B. Wang, and J. Fang, “Design of motor intelligent monitoring and fault diagnosis system based on LoRa,” IEEE Trans. Appl. Supercond., vol. 31, no. 8, pp. 1–4, June 2021. DOI: 10.1109/TASC.2021.3091094.
  • A. Srivastava and S. K. Parida, “A robust fault detection and location prediction module using support vector machine and Gaussian process regression for AC microgrid,” IEEE Trans. Ind. Appl., vol. 58, no. 1, pp. 930–939, Nov. 2021. DOI: 10.1109/TIA.2021.3129982.
  • S. A. Nasef, A. A. Hassan, H. T. Elsayed, M. B. Zahran, M. K. El-Shaer, and A. Y. Abdelaziz, “Optimal tuning of a new multi-input multi-output fuzzy controller for doubly fed induction generator-based wind energy conversion system,” Arab. J. Sci. Eng., vol. 47, no. 3, pp. 3001–3021, Aug. 2022. DOI: 10.1007/s13369-021-05946-4.
  • L. Xing and W. Liu, “A data fusion powered bi-directional long short term memory model for predicting multi-lane short term traffic flow,” IEEE Trans. Intell. Transp. Syst., vol. 23, no. 9, pp. 16810–16819, July 2022. DOI: 10.1109/TITS.2021.3095095.
  • P. S. V. Kishore, J. Rajesh, N. Jayaram, and S. Halder, “A survey of machine learning applications in renewable energy sources,” IETE J. Res., vol. 10, pp. 1–18, Nov. 2021. DOI: 10.1080/03772063.2022.2143439.
  • T. Anu Shalini and B. Sri Revathi, “Hybrid power generation forecasting using CNN based BILSTM method for renewable energy systems,” Automatika, vol. 64, no. 1, pp. 127–144, Sept. 2022. DOI: 10.1080/00051144.2022.2118101.
  • T. Ahmad, H. Zhang, and B. Yan, “A review on renewable energy and electricity requirement forecasting models for smart grid and buildings,” Sustainable Cities Soc., vol. 55, pp. 102052, Apr. 2020. DOI: 10.1016/j.scs.2020.102052.

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.