PV and Wind Energy Conversion Exploration based on Grid Integrated Hybrid Generation Using the Cuttlefish Algorithm
Received: 22 September 2022 | Revised: 28 September 2022 | Accepted: 1 October 2022 | Online: 9 October 2022
Corresponding author: V. Narasimhulu
Abstract
This paper focuses on the exploration of grid-integrated hybrid generation comprising Photovoltaic (PV) and Wind Energy Conversion Systems (WECSs) using the Cuttlefish Algorithm (CFA). PV and wind energies are opposite because sunny days are normally calm, and strong winds frequently occur on cloudy days or at night. Hence, a hybrid PV and wind power system is more reliable than either individual source in terms of delivering uninterrupted power. The regulation of the DC voltage is the key issue in this configuration. The conventional PI controller is inaccurate in regulating the DC voltage. The PI controller gain tuning using optimization techniques provides good DC voltage regulation and less Total Harmonic Distortion (THD). Hence, CFA is proposed for the tuning of PI gains. The performance parameters such as DC voltage regulation and THD of CFA are analyzed.
Keywords:
photovoltaic, wind energy conversion system, PWM, PI, AWT, PR, PSO, CFADownloads
References
Y.-M. Chen, Y.-C. Liu, S.-C. Hung, and C.-S. Cheng, "Multi-Input Inverter for Grid-Connected Hybrid PV/Wind Power System," IEEE Transactions on Power Electronics, vol. 22, no. 3, pp. 1070–1077, Feb. 2007. DOI: https://doi.org/10.1109/TPEL.2007.897117
J. B. V. Subrahmanyam, P. Alluvada, Bandana, K. Bhanupriya, and C. Shashidhar, "Renewable Energy Systems: Development and Perspectives of a Hybrid Solar-Wind System," Engineering, Technology & Applied Science Research, vol. 2, no. 1, pp. 177–181, Feb. 2012. DOI: https://doi.org/10.48084/etasr.104
A. F. Tazay, A. M. A. Ibrahim, O. Noureldeen, and I. Hamdan, "Modeling, Control, and Performance Evaluation of Grid-Tied Hybrid PV/Wind Power Generation System: Case Study of Gabel El-Zeit Region, Egypt," IEEE Access, vol. 8, pp. 96528–96542, 2020. DOI: https://doi.org/10.1109/ACCESS.2020.2993919
A. V. P. Kumar, A. M. Parimi, and K. U. Rao, "Investigation of small PMSG based wind turbine for variable wind speed," in 2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE), Noida, India, Mar. 2015, pp. 107–112. DOI: https://doi.org/10.1109/RDCAPE.2015.7281378
N. A. Orlando, M. Liserre, R. A. Mastromauro, and A. Dell’Aquila, "A Survey of Control Issues in PMSG-Based Small Wind-Turbine Systems," IEEE Transactions on Industrial Informatics, vol. 9, no. 3, pp. 1211–1221, Dec. 2013. DOI: https://doi.org/10.1109/TII.2013.2272888
G. Mustafa, M. H. Baloch, S. H. Qazi, S. Tahir, N. Khan, and B. A. Mirjat, "Experimental Investigation and Control of a Hybrid (PV-Wind) Energy Power System," Engineering, Technology & Applied Science Research, vol. 11, no. 1, pp. 6781–6786, Feb. 2021. DOI: https://doi.org/10.48084/etasr.3964
W. M. Amutha, Renugadevi, and V. Rajini, "A Novel Fused Converter for Hybrid Power Systems," Advanced Materials Research, vol. 984–985, pp. 744–749, 2014. DOI: https://doi.org/10.4028/www.scientific.net/AMR.984-985.744
J. Biela, D. Hassler, J. Schönberger, and J. W. Kolar, "Closed-Loop Sinusoidal Input-Current Shaping of 12-Pulse Autotransformer Rectifier Unit With Impressed Output Voltage," IEEE Transactions on Power Electronics, vol. 26, no. 1, pp. 249–259, Jan. 2011. DOI: https://doi.org/10.1109/TPEL.2010.2052633
X. Zeng, T. Liu, S. Wang, Y. Dong, and Z. Chen, "Comprehensive Coordinated Control Strategy of PMSG-Based Wind Turbine for Providing Frequency Regulation Services," IEEE Access, vol. 7, pp. 63944–63953, 2019. DOI: https://doi.org/10.1109/ACCESS.2019.2915308
M. Benchagra, M. Maaroufi, and M. Ouassaid, "Study and analysis on the control of SCIG and its responses to grid voltage unbalance," in 2011 International Conference on Multimedia Computing and Systems, Ouarzazate, Morocco, Apr. 2011, pp. 1–5. DOI: https://doi.org/10.1109/ICMCS.2011.5945737
J. Liu, C. Zhao, and Z. Xie, "Power and Current Limiting Control of Wind Turbines Based on PMSG Under Unbalanced Grid Voltage," IEEE Access, vol. 9, pp. 9873–9883, 2021. DOI: https://doi.org/10.1109/ACCESS.2021.3049839
A. Mittal and L. Taylor, "Optimization of Large Wind Farms Using a Genetic Algorithm," in ASME 2012 International Mechanical Engineering Congress and Exposition, Houston, TX, USA, Nov. 2012, vol. 7. DOI: https://doi.org/10.1115/IMECE2012-87816
V. Narasimhulu, D. V. Ashok Kumar, and Ch. Sai Babu, "Computational intelligence based control of cascaded H-bridge multilevel inverter for shunt active power filter application," Journal of Ambient Intelligence and Humanized Computing, Jan. 2020. DOI: https://doi.org/10.1007/s12652-019-01660-0
V. Narasimhulu, D. V. Ashok Kumar, and Ch. Sai Babu, "Fuzzy Logic Control of SLMMC-Based SAPF Under Nonlinear Loads," International Journal of Fuzzy Systems, vol. 22, no. 2, pp. 428–437, Mar. 2020. DOI: https://doi.org/10.1007/s40815-019-00622-0
M. Heidari, "Improve the Power Quality of Wind Power Plant by Modifying the Theory of Instantaneous Active and Reactive Power," International Journal Of Renewable Energy Research, vol. 5, no. 3, pp. 722–731, Sep. 2015.
V. Narasimhulu, D. V. Ashok Kumar, and Ch. Sai Babu, "Recital analysis of multilevel cascade H-bridge based active power filter under load variation," SN Applied Sciences, vol. 1, no. 12, Nov. 2019, Art. no. 1621. DOI: https://doi.org/10.1007/s42452-019-1669-8
V. Narasimhulu and K. Jithendra Gowd, "Performance Analysis of Single-Stage PV Connected Three-Phase Grid System Under Steady State and Dynamic Conditions," in Cybernetics, Cognition and Machine Learning Applications, Singapore, 2021, pp. 39–46. DOI: https://doi.org/10.1007/978-981-33-6691-6_5
N. Regis, C. M. Muriithi, and L. Ngoo, "Optimal Battery Sizing of a Grid-Connected Residential Photovoltaic System for Cost Minimization using PSO Algorithm," Engineering, Technology & Applied Science Research, vol. 9, no. 6, pp. 4905–4911, Dec. 2019. DOI: https://doi.org/10.48084/etasr.3094
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