Ratheesh, S., M., J. (2023). Control of self-excited induction generator based wind turbine using current and voltage control approaches. Alustath, 16(3), 209-217. doi: 10.30772/qjes.2023.143509.1033
S. Ratheesh; Jeba Vins M.. "Control of self-excited induction generator based wind turbine using current and voltage control approaches". Alustath, 16, 3, 2023, 209-217. doi: 10.30772/qjes.2023.143509.1033
Ratheesh, S., M., J. (2023). 'Control of self-excited induction generator based wind turbine using current and voltage control approaches', Alustath, 16(3), pp. 209-217. doi: 10.30772/qjes.2023.143509.1033
Ratheesh, S., M., J. Control of self-excited induction generator based wind turbine using current and voltage control approaches. Alustath, 2023; 16(3): 209-217. doi: 10.30772/qjes.2023.143509.1033

Control of self-excited induction generator based wind turbine using current and voltage control approaches

Al-Qadisiyah Journal for Engineering Sciences
Volume 16, Issue 3, September 2023, Pages 209-217    PDF (753.02 K)
Document Type: Research Paper
DOI: 10.30772/qjes.2023.143509.1033
Authors
S. Ratheesh* ; Jeba Vins M.
Sea Sense Interdisciplinary Research and IT Solutions OPC Pvt Ltd., Marthandam, Kanyakumari, Tamil Nadu, 629165, India.
Abstract
The self-excited induction generator (SEIG) is widely applied in the wind energy conversion system (WECS) to enhance power generation. The power generation from WECS is varied in terms of varying wind speed. Hence, to improve the working of SEIG-based WECS, the multi-stage coati optimized proportional integral (CPI) fractional order proportional integral derivative (FOPID) controller is proposed in this work. The proposed coati optimized proportional integral - fractional order proportional integral derivative controls the SEIG’s grid side converter and generator side converter. The coati optimization algorithm optimizes the controller parameters of a proposed multi-state controller. The proposed CPI-FOPID controls both the voltage at the grid side converter and the current at a generator side converter. Moreover, the pitch angle of the wind turbine (WT) is controlled by the fuzzy-based tilt integral derivative (F-TID) controller. The proposed work will be implemented on the Matlab/Simulink platform, and the THD of 0.63% has proven the efficacy of the proposed methodology.
Keywords
Fuzzy-based; Generator; Converter; Wind Turbine; Current-Voltage
References
  • Li, N.Wang, D. Zhou, W. Hu, Q. Huang, Z. Chen, F. Blaabjerg, Optimal reactive power dispatch of permanent magnet synchronous generator-based wind farm considering levelised production cost minimisation, Renewable Energy 145 (2020) 1-12.
  • H. Kadhum, A.S. Alkhafaji, H.H. Emawi, The influence of iron losses on selecting the minimum excitation capacitance for self-excited induction generator (SEIG) with wind turbine, Indonesian Journal of Electrical Engineering and Computer Science19(1) (2020) 11-22.
  • Weschenfelder, G. Leite, DNP,A.C.A. da Costa, O. de Castro Vilela, C.M. Ribeiro, A.A.V. Ochoa, A.M. Araujo, A review on the complementarity between grid-connected solar and wind power systems, Journal of Cleaner Production257 (2020)120617
  • Shahid, A. Zameer, A. Mehmood, M.A.Z. Raja, A novel wavenets long short term memory paradigm for wind power prediction, Applied Energy269 (2020)115098
  • Ramlochun, C.A. Vaithilingam, A.A. Alsakati, J. Alnasseir, Transient stability analysis of IEEE 9-bus system integrated with DFIG and SCIG based wind turbines, In Journal of Physics: Conference Seriesvol. 2120(1), (2021) 012023, IOP Publishing.
  • A. de Azevedo, L.S. Barros, Comparison of control strategies for squirrel-cage induction generator-based wind energy conversion systems, In 2021 14th IEEE international conference on industry applications (INDUSCON)IEEE. (2021) 790-796.
  • A. Haj-Ahmed, E.A. Feilat, H.I. Khasawneh, A.F. Abdelhadi, A.A. Awwad, Comprehensive protection schemes for different types of wind generators, IEEE Transactions on Industry Applications54(3)(2018) 2051-2058.
  • Na, E. Muljadi, S. Han, R.K. Tagayi, J. Kim, Possibility of power electronics-based control analysis of a self-excited induction generator (seig) for wind turbine and electrolyzer application, Electronics10(22) (2021) 2743.
  • Mahalakshmi, K.S. Thampatty, Analysis of SSR in Grid Integrated Series Compensated SCIG based Wind Turbine Generators-A Laboratory model, International Journal on Electrical Engineering and Informatics13(2) (2021)336-353.
  • Athamneh, AL-MAJALI BH. Voltage stability enhancement for large scale squirrel cage induction generator-based wind turbine using STATCOM, International Journal of Power Electronics and Drive Systems12(3) (2021) 1784-1794.
  • Xu, T. Gao, Sub-synchronous frequency domain-equivalent modeling for wind farms based on rotor equivalent resistance characteristics, Global Energy Interconnection.  5(3) (2022) 293-300.
  • Apata, DTO. Oyedokun, An overview of control techniques for wind turbine systems, Scientific African10 (2020) e00566.
  • Dewangan, G. Dyanamina, N. Kuma, Performance improvement of wind‐driven self‐excited induction generator using fuzzy logic controller, International Transactions on Electrical Energy Systems29(8) (2019) e12039.
  • Azizi, H. Nourisola, S. Shoja-Majidabad, Fault tolerant control of wind turbines with an adaptive output feedback sliding mode controller, Renewable energy135 (2019) 55-65.
  • Teng, Z. Lu, J. Long, Y. Wang, A.P. Roskilly, Voltage build-up analysis of self-excited induction generator with multi-timescale reduced-order model, IEEE Access 7 (2019)48003-48012.
  • Varshney, A.S.S. Vardhan, A.S.S. Vardhan, S. Kumar, R.K. Saket, P. Sanjeevikumar, Performance characteristics and reliability assessment of self‐excited induction generator for wind power generation, IET Renewable Power Generation15(9) (2021) 1927-1942.
  • A. Nasir, R.W. Daoud, Modeling of wind turbine-self excited induction generator system with pitch angle and excitation capacitance control. In AIP Conference Proceedings2307(1) (2020) 020022. AIP Publishing LLC.
  • Amieur, D. Taibi, O. Amieur, Voltage oriented control of self-excited induction generator for wind energy system with MPPT, In AIP Conference Proceedings1968(1) (2018) 030067. AIP Publishing LLC.
  • Baran, A. Jąderko, An MPPT control of a PMSG-based WECS with disturbance compensation and wind speed estimation, Energies13(23) (2020) 6344.
  • Kim, H.G. Kim, Y. Song, I. Paek, Design and simulation of an LQR-PI control algorithm for medium wind turbine, Energies2(12) (2019) 2248.
  • R.K. Reddy, J.B.V. Subrahmanyam, A.S. Reddy, Improvement of Dynamic Performance in SEIG WECS by Using ANFIS Controller, Asian Journal for Convergence in Technology (AJCT) ISSN-2350-1146, 8(1) (2022) 78-86.
  • Angadi, U.R. Yargatti, Y. Suresh, A.B. Raju, Speed sensorless maximum power point tracking technique for SEIG-based wind energy conversion system feeding induction motor pump. Electrical Engineering104(5) (2022) 2935-2948.
  • Sotoudeh, J. Soltani, M.M. Rezaei, A Robust Control for SCIG-Based Wind Energy Conversion Systems Based on Nonlinear Control Methods, Journal of Control, Automation and Electrical Systems32, (2021) 735-746.
  • T.S. Dagang, G. Kenne, F.A. Muluh, Fuzzy logic direct torque/power control for a self-excited induction generator driven by a variable wind speed turbine, International Journal of Dynamics and Control9 (2021) 1210-1222.
  • Laghridat, A. Essadki, T. Nasser, Coordinated control by ADRC strategy for a wind farm based on SCIG considering low voltage ride-through capability, Protection and Control of Modern Power Systems7(1) (2022) 7.
  • Emami, A. Koochaki, M. Radmehr, SSR Alleviation in SCIG-Based Wind Power Plants Using Resistive Bridge-Type FCL, Journal of Electrical Engineering & Technology16(2) (2021) 907-916.
  • A. Hamoodi, F.I. Hameed, A.N. Hamoodi, Pitch angle control of wind turbine using adaptive Fuzzy-PID controller, EAI Endorsed Transactions on Energy Web 7(28) (2020) e15-e15.
  • S. Ejiofor, E.U. Candidus, M.C. Victory, E.C. Ugochukwu, Wind energy dynamics of the separately excited induction generator, International Journal of Applied Science.  2(1) (2019) 22-22.
  • S. Ejiofor, E.U. Candidus, M.C. Victory, E.C. Ugochukwu, Wind energy dynamics of the separately excited induction generator, International Journal of Applied Science. Vol. 2(1), pp. 22-22, 2019.
  • S. Farag, S.M. Saleh, G.M. El-Bayoumi, Pitch control dynamic study of isolated wind turbine based self-excited induction generator under realistic wind speed profiles, In 2017 Nineteenth International Middle East Power Systems Conference (MEPCON) (2017) 403-408. IEEE.
  • S. Satpathy, D. Kastha, K. Kishore, Control of a STATCOM‐assisted self‐excited induction generator‐based WECS feeding non‐linear three‐phase and single‐phase loads, IET Power Electronics12(4) (2019) 829-839.
  • Singh, S. Suhag, Frequency regulation in an AC microgrid interconnected with thermal system employing multiverse-optimised fractional order-PID controller, International Journal of Sustainable Energy39(3) (2020) 250-262.
  • Dehghani, Z. Montazeri, E. Trojovská, P. Trojovský, Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems. Knowledge-Based Systems 259 (2023) 110011.
  • H. Mugheri, M.U. Keerio, An Optimal Fuzzy Logic-based PI Controller for the Speed Control of an Induction Motor using the V/F Method, Engineering, Technology & Applied Science Research11(4) (2021) 7399-7404.
Statistics
Article View: 5,086
PDF Download: 403


Journal Management System. Powered by ejournalplus.com