Strengthening Low Voltage Ride-Through in Wind Energy Systems: A Comparative Study of DVR and STATCOM

Year : 2024 | Volume : 14 | Issue : 03 | Page : 47 62
    By

    Bibhu Prasad Ganthia,

  • Praveen B. M,

  1. Post Doc Fellow, Department of Electrical and Electronics Engineering, College of Engineering and Technology, Srinivas University, Mangalore, Karnataka, India
  2. Director, Department of Electrical and Electronics Engineering, College of Engineering and Technology, Srinivas University, Mangalore, Karnataka, India

Abstract

This study looks at the various methods used to improve the low-voltage ride-through (LVRT) capabilities of wind turbine systems (WT) that are based on double-fed induction generators (DFIG). The Type-III WT machine, which is mostly based on DFIG, is instantly connected to the grid without the digital power interface, making the terminal voltage or reactive electricity output unmanageable. This is because the world utilizes between 20% and 25% of renewable energy from wind. Consequently, new LVRT techniques based on the use of extra-active interface technologies were described in this work. The low-voltage fault problem is now being addressed by a variety of approaches. This research attempts to identify such working ways by bridging the gap in terms of total adaptive performance, operating complexity of controllers, and cost-effectiveness by analyzing LVRT strategies for DFIG-based wind energy conversion system (WECS). Based on their grid integrations, this study focuses on methods to improve LVRT’s reliance on relationship establishment in three key areas. The wind turbine system in this study is connected to a dynamic voltage restorer (DVR) and static synchronous compensator (STATCOM) for active and reactive power regulation during the fault detection process. This paper highlights the operation of both synchronous and non-synchronous reference frames. It also shows how the use of STATCOM in conjunction with synchronous reference frame (SRF) theory improves active and reactive power during disturbances. The MATLAB Simulink is used to simulate and analyze the mathematical models of the complete system.

Keywords: DVR, STATCOM, LVRT, DFIG, WT, FACT, WECS

[This article belongs to Journal of Power Electronics and Power Systems ]

How to cite this article:
Bibhu Prasad Ganthia, Praveen B. M. Strengthening Low Voltage Ride-Through in Wind Energy Systems: A Comparative Study of DVR and STATCOM. Journal of Power Electronics and Power Systems. 2024; 14(03):47-62.
How to cite this URL:
Bibhu Prasad Ganthia, Praveen B. M. Strengthening Low Voltage Ride-Through in Wind Energy Systems: A Comparative Study of DVR and STATCOM. Journal of Power Electronics and Power Systems. 2024; 14(03):47-62. Available from: https://journals.stmjournals.com/jopeps/article=2024/view=183565


References

  1. Siraj K, Siraj H, Nasir M. Modeling and control of a doubly fed induction generator for grid integrated wind turbine. 2014 16th International Power Electronics and Motion Control Conference and Exposition, Antalya, Turkey, 2014. pp. 901–906. DOI: 10.1109/EPEPEMC.2014.6980613.
  2. Barick CK, Mohapatra BK, Kabat SR, Jena K, Ganthia BP, Panigrahi CK. Review on scenario of wind power generation and control. 2022 1st IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA), Bhubaneswar, India, 2022. pp. 12–17. DOI: 10.1109/ICIDeA53933.2022.9970193.
  3. Rubavathy SJ, Venkatasubramanian R, Kumar MM, Ganthia BP, Kumar JS, Hemachandu P, Ramkumar MS. Smart grid based multiagent system in transmission sector. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2021. pp. 1–5. DOI: 10.1109/ICIRCA51532.2021.9544644.
  4. Zheng W, Mehbodniya A, Neware R, Wawale SG, Ganthia BP, Shabaz M. Modular unmanned aerial vehicle platform design: Multi-objective evolutionary system method. Comput Electr Eng. 2022;99:107838. DOI: 10.1016/j.compeleceng.2022.107838.
  5. Rafin SS, Ahmed R, Haque MA, Hossain MK, Haque MA, Mohammed OA. Power electronics revolutionized: A comprehensive analysis of emerging wide and ultrawide bandgap devices. Micromachines. 2023 Oct 31;14(11):2045.
  6. Biswal A, Ganthia BP, Satapathy S, Patra S, Bhatta SK, Mohanty M. Prototype design of modified mechanical drive train gear box system using ANSYS for wind power generation. 2nd International Conference on Artificial Intelligence and Smart Energy (ICAIS); Coimbatore, India; 2022. Vol. 2022:518–523. DOI: 10.1109/ICAIS53314.2022.9743077.
  7. Priyadarshini L, Kundu S, Maharana MK, Ganthia BP. Controller design for the pitch control of an autonomous underwater vehicle. Eng Technol Appl Sci Res. 2022;12:8967–8971. DOI: 10.48084/etasr.5050.
  8. Samal SK, Jena S, Ganthia BP, Kaliappan S, Sudhakar M, Kalyan SS. Sensorless speed control of doubly fed induction machine using reactive power based MRAS. In: Journal of Physics: Conference Series. Vol. 2161, No. 1, p. 012069. IOP Publishing; 2022.
  9. Refaai MRA, Dhanesh L, Ganthia BP, Mohanty M, Subbiah R, Anbese EM. Design and implementation of a floating PV model to analyse the power generation. Int J Photoenergy. 2022:1–13. DOI: 10.1155/2022/3891881.
  10. Ganthia BP, Barik SK, Nayak B. Sliding mode control and genetic algorithm optimized removal of wind power and torque nonlinearities in mathematical modeled Type-III wind turbine system. 2021 9th International Conference on Cyber and IT Service Management (CITSM), Bengkulu, Indonesia, 2021. pp. 1–7. DOI: 10.1109/CITSM52892.2021.9587933.
  11. Ganthia BP, Hanumanthakari S, Gudimindla H, Anandaram H, Ramkumar MS, Mohanty M, Gopal SR, Sarojwal A, Hadish KM. Machine learning strategy to achieve maximum energy harvesting and monitoring method for solar photovoltaic panel applications. Int J Photoenergy. 2022:1–9. DOI: 10.1155/2022/4493116.
  12. Maherchandani JK, Joshi RR, Tirole R, Swami RK, Ganthia BP. Performance comparison analysis of energy management strategies for hybrid electric vehicles. In: Recent Advances in Power Electronics and Drives. Springer Nature Singapore; 2022:245–254. DOI: 10.1007/978-981-16-9239-0_18.
  13. Kabat SR, Panigrahi CK. Power quality and low voltage ride through capability enhancement in wind energy system using unified power quality conditioner (UPQC). ECS Trans. 2022;107:5655-5662. DOI: 10.1149/10701.5655ecst.
  14. Ganthia BP, Choudhury S, Mohanty S, Acharya SK. Mechanical design and power analysis of Type-III wind turbine system using computational fluid dynamics. 2022 IEEE Delhi Section Conference (DELCON), New Delhi, India, 2022. pp. 1–6. DOI: 10.1109/DELCON54057.2022.9753089.
  15. Ganthia BP, Barik SK, Nayak B. Radial basis function artificial neural network optimized stability analysis in modified mathematical modeled Type-III wind turbine system using bode plot and Nyquist plot. ECS Trans. 2022;107:5663–5670. DOI: 10.1149/10701.5663ecst.
  16. Pahadasingh S, Jena C, Panigrahi CK, Ganthia BP. JAYA algorithm-optimized load frequency control of a four-area interconnected power system tuning using PID controller. Eng Technol Appl Sci Res. 2022;12:8646–8651. DOI: 10.48084/etasr.4891.
  17. Ganthia BP, Barik SK, Nayak B, Priyadarshi N, Padmanaban S, Hiran KK, Bansal RC. Power control of modified type III DFIG-based wind turbine system using four-mode type I fuzzy logic controller. Artif Intell Internet Things Renew Energy Syst. 2021;12:41.
  18. Mishra S, Ganthia BP, Sridharan A, Rajakumar P, Padmapriya D, Kaliappan S. Optimization of load forecasting in smartgrid using artificial neural network based NFTOOL and NNTOOL. In: Journal of Physics: Conference Series. Vol. 2161, No. 1, p. 012068. IOP Publishing; 2022.
  19. Kabat SR, Panigrahi CK, Ganthia BP. Comparative analysis of fuzzy logic and synchronous reference frame controlled LVRT capability enhancement in wind energy system using DVR and STATCOM. In: Sustainable Energy and Technological Advancements. Springer: Singapore; 2022:423–433. DOI: 10.1007/978-981-16-9033-4_32.
  20. Ganthia BP, Suriyakrishnaan K, Prakash N, Harinarayanan J, Thangaraj M, Mishra S. Comparative analysis on various types of energy storage devices for wind power generation. In: Journal of Physics: Conference Series. Vol. 2161, No. 1, p. 012066. IOP Publishing; 2022.
  21. Ganthia BP, Rana PK, Pattanaik SA, Rout K, Mohanty S. Space vector pulse width modulation fed direct torque control of induction motor drive using MATLAB-simulink. In: 3rd International Conference on Electrical, Electronics, Engineering Trends, Communication, Optimization, and Sciences (EEECOS 2016). IET; 2016. p. 1–5. DOI: 10.1049/cp.2016.1497.
  22. Ganthia BP, Barik SK, Nayak B. Genetic Algorithm Optimized and Type-I fuzzy logic controlled power smoothing of mathematical modeled Type-III DFIG based wind turbine system. Mater Today Proc. 2022;56:3355–3365. DOI: 10.1016/j.matpr.2021.10.193.
  23. Kabat SR, Panigrahi CK, Ganthia BP, Barik SK, Nayak B. Implementation and analysis of mathematical modeled drive train system in type III wind turbines using computational fluid dynamics. Adv Sci Technol Res J. 2022;16:180–189. DOI: 10.12913/22998624/144753.
  24. Sahu PK, Mohanty A, Ganthia BP, Panda AK. A multiphase interleaved boost converter for grid-connected PV system. 2016 International Conference on Microelectronics, Computing and Communications (MicroCom), Durgapur, 2016. pp. 1–6. DOI: 10.1109/Micro
    2016.7522539.
  25. Pritam A, Sahu S, Rout SD, Ganthia S, Ganthia BP. Automatic generation control study in two area reheat thermal power system. IOP Conf Ser: Mater Sci Eng. 2017;225(1):012223. DOI: 10.1088/1757-899X/225/1/012223.
  26. Ganthia BP, Mohanty M, Maherchandani JK. Power analysis using various types of wind turbines. In: Modeling and Control of Static Converters for Hybrid Storage Systems. IGI Global; 2022. p. 271–286. DOI: 10.4018/978-1-7998-7447-8.ch010.
  27. Ganthia BP, Pritam A, Rout K, Singhsamant S, Nayak J. Study of AGC in two-area hydro-thermal power system. Adv Power Syst Energy Manag. 2016;393–401.
  28. Ganthia BP, Abhisikta A, Pradhan D, Pradhan A. A variable structured TCSC controller for power system stability enhancement. Mater Today Proc. 2018;5:665–672.
  29. Ganthia BP, Pradhan R, Das S, Ganthia S. Analytical study of MPPT based PV system using fuzzy logic controller. 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Chennai, India, 2017. pp. 3266–3269. DOI: 10.1109/ICECDS.2017.8390063.
  30. Ganthia BP, Barik SK, Nayak B. Comparative analysis of various types of control techniques for wind energy conversion system. In: Modeling and Control of Static Converters for Hybrid Storage Systems. IGI Global; 2022. p. 143–174. DOI: 10.4018/978-1-7998-7447-8.ch006.
  31. Ganthia BP, Barik SK, Nayak B. Wind turbines in energy conversion system: Types & techniques. In: Renewable Energy and Future Power Systems. Springer; 2021. p. 199–217. DOI: 10.1007/978-981-33-6753-1_9.
  32. Ganthia BP, Barik SK, Nayak B. Shunt connected FACTS devices for LVRT capability enhancement in WECS. Eng Technol Appl Sci Res. 2020;10:5819–5823. DOI: 10.48084/etasr.3560.
  33. Ganthia BP, Agarwal V, Rout K, Pardhe MK. Optimal control study in DFIG based wind energy conversion system using PI & GA. 2017 International Conference on Power and Embedded Drive Control (ICPEDC), Chennai, India, 2017. pp. 343–347. DOI: 10.1109/ICPEDC.2017.8081112.
  34. Ganthia BP, Mohanty S, Rana PK, Sahu PK. Compensation of voltage sag using DVR with PI controller. In: International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, India; 2016. p. 2138–2142. DOI: 10.1109/ICEEOT.2016.7755068.
  35. Ganthia B, Mohanty Monalisa, Mohapatra Sushree Shataroopa, Pradhan Rosalin, Satapathy Subhasmita, Patra Shilpa, Pahadasingh Sunita. Artificial Neural Network Optimized Load Forecasting of Smartgrid using MATLAB. Control Syst Optim Lett. 2023;1(1):46–51. Available from: https://www.example.com
  36. Ganthia BP, Barik SK, Nayak B. Wind turbines in energy conversion system: Types & techniques. In: Renewable Energy and Future Power Systems. Springer: Singapore; 2021. p. 199–217. DOI: 10.1007/978-981-33-6753-1_9.
  37. Ganthia BP, Barik SK, Nayak B. Hardware in loop (THIL 402) validated Type-I fuzzy logic control of Type-III wind turbine system under transients. J Electr Syst. 2021;17:28–51.
  38. Ganthia BP, Barik SK. Steady-state and dynamic comparative analysis of PI and fuzzy logic controller in stator voltage oriented controlled DFIG fed wind energy conversion system. J Inst Eng (India): Ser B. 2020;101:273–86. DOI: 10.1007/s40031-020-00455-8.
  39. Ganthia BP, Barik SK, Nayak B. Shunt connected FACTS devices for LVRT capability enhancement in WECS. Eng Technol Appl Sci Res. 2020;10:5819–23. DOI: 10.48084/etasr.3560.
  40. Ganthia BP, Barik SK, Nayak B. Low voltage ride through capability enhancement using series connected fact devices in wind energy conversion system. J Eng Sci Technol. 2021;16:365–84.
  41. Gu J, Wang W, Yin R, Truong CV, Ganthia BP. Complex circuit simulation and nonlinear characteristics analysis of GaN power switching device. Nonlinear Eng. 2021;10:555–62. DOI: 10.1515/nleng-2021-0046.
  42. Xie H, Wang Y, Gao Z, Ganthia BP, Truong CV. Research on frequency parameter detection of frequency shifted track circuit based on nonlinear algorithm. Nonlinear Eng. 2021;10:592–9. DOI: 10.1515/nleng-2021-0050.
  43. Ganthia BP. Application of hybrid facts devices in DFIG based wind energy system for LVRT capability enhancements. J Mech Cont Math Sci. 2020;15:245–56.
  44. Ganthia BP, Barik SK, Nayak B. Transient analysis of grid integrated stator voltage oriented controlled type-III DFIG-driven wind turbine energy system. J Mech Cont Math Sci. 2020;15:139–57.
  45. Kabat SR, Ganthia BP, Panigrahi CK. Fuzzy logic and synchronous reference frame controlled LVRT capability enhancement in wind energy system using DVR. Turk J Comput Math Educ (TURCOMAT). 2021;12:4899–907.
  46. Joseph L, Ganthia BP. ANN based speed control of brushless DC motor using DC-DC converter. Des Eng. 2021;1998–2011.
  47. Ganthia BP, Upadhyaya M. Bridgeless AC/DC converter & DC-DC based power factor correction with reduced total harmonic distortion. Des Eng. 2021;2012–8.
  48. Mannam P, Manchireddy S, Ganthia BP. Grid tied PV with reduced THD using NN and PWM techniques. Des Eng. 2021;2019–27.
  49. Devraj PA, Subramanian SS, Durairaj U, Ganthia BP, Upadhyaya M. MATLAB/Simulink based THD reduction using active power filters. Des Eng. 2021;1990–7.
  50. Durairaj U, Khillo A, Priyadarshini S, Ganthia BP, Koyyeda R. Design and implementation of power system performance improvement by using PFC. Des Eng. 2021;1366–76.
  51. Jayakumar N, Devi Vighneshwari B, Mohanty M, Kabat SR, Ganthia BP, Rani NC, et al. Cascade H bridge multilevel inverter with PWM for lower THD, EMI & RFI reduction. Ann Rom Soc Cell Biol. 2021;25(6):2972–7.
  52. Thenmalar K, Kiruba K, Raj P, Ganthia BP. A real-time implementation of ANN controller to track maximum PowerPoint in solar photovoltaic system. Ann Rom Soc Cell Biol. 2021;25:10592–607.
  53. Ganthia BP, Pradhan R, Sahu R, Pati AK. Artificial ant colony optimized direct torque control of mathematically modeled induction motor drive using PI and sliding mode controller. In: Recent Advances in Power Electronics and Drives. Singapore: Springer; 2021. p. 389–408. DOI: 10.1007/978-981-15-8586-9_35.
  54. Pragati A, Ganthia BP, Panigrahi BP. Genetic algorithm optimized direct torque control of mathematically modeled induction motor drive using PI and sliding mode controller. In: Recent Advances in Power Electronics and Drives. Lecture Notes in Electrical Engineering, Vol. 707. Singapore: Springer; 2021. p. 351–66. DOI: 10.1007/978-981-15-8586-9_32.
  55. Satpathy SR, Pradhan S, Pradhan R, Sahu R, Biswal AP, Ganthia BP. Direct torque control of mathematically modeled induction motor drive using PI-type-I fuzzy logic controller and sliding mode controller. In: Intelligent Systems. Lecture Notes in Networks and Systems, Vol. 185. Singapore: Springer; 2021. p. 239–51. DOI: 10.1007/978-981-33-6081-5_21.
  56. Ganthia BP, Sahu PK, Mohanty A. Minimization of total harmonic distortion using pulse width modulation technique. IOSR J Electr Electron Eng (IOSR-JEEE). 2021; e-ISSN: 2278-1676.
  57. Ganthia BP, Rana PK, Patra T, Pradhan R, Sahu R. Design and analysis of gravitational search algorithm based TCSC controller in power system. Mater Today Proc. 2018;5:841–7.
  58. Sahu S, Mohapatra BK, Kabat SR, Panda S, Pahadasingh S, Ganthia BP. Multiple order harmonic elimination in photovoltaic system using SPWM based eleven-level cascaded H-BRIDGE multilevel inverter. J Mech Contin Math Sci. 2024;19. DOI: 10.26782/jmcms.2024.08.00002.
  59. Ganthia BP, Praveen BM. Review on scenario of wind power generations in India. Electr Eng. 2023;13:1–27.
  60. Mohanty M, Nayak N, Ganthia BP, Behera MK. Power smoothening of photovoltaic system using dynamic PSO with ESC under partial shading condition. Proceedings of the 2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT); 2023 Oct 10–12; Bhubaneswar, India. 2023. p. 675–80. DOI: 10.1109/APSIT58554.2023.10201763.

Regular Issue Subscription Review Article
Volume 14
Issue 03
Received 11/10/2024
Accepted 28/10/2024
Published 04/11/2024


Login


My IP

PlumX Metrics