Enhancing Low Voltage Ride-Through Capability in Wind Energy Conversion Systems Using Phasor

Volume: 10 | Issue: 02 | Year 2024 | Subscription
International Journal of Electrical Power System and Technology
Received Date: 10/15/2024
Acceptance Date: 10/28/2024
Published On: 2024-11-10
First Page: 15
Last Page: 40

Journal Menu

By: Bibhu Prasad Ganthia and Praveen B. M.

1-Post Doc. Fellow, College of Engineering and Technology, Srinivas University, Mangalore, Karnataka 574146, India.
2-Director, College of Engineering and Technology, Srinivas University, Mangalore, Karnataka 574146, India.

Abstract

This paper presents a comprehensive strategy for enhancing the low voltage ride-through capability in wind energy conversion systems by integrating phasor measurement units, Type-III wind turbine systems, and flexible AC transmission systems devices. The research focuses on double fed induction generators-based wind turbines, which constitute a significant portion of wind energy systems but face challenges in maintaining grid stability during voltage sags. As wind turbines are directly connected to the grid without digital power interfaces, regulating terminal voltage and reactive power becomes challenging. To address these issues, active low voltage ride-through strategies are proposed by incorporating intelligent phasor measurement unit-based controllers with reactive power compensation using flexible AC transmission system devices. The paper evaluates various adaptive low voltage ride-through techniques to ensure seamless grid integration, focusing on performance, controller complexity, and cost-effectiveness. The study highlights how series-connected flexible AC transmission system devices, managed through sensor-based SCADA frameworks and adaptive state estimation algorithms, improve wind energy conversion system stability. The phasor measurement unit is employed as a heuristic intelligent controller to monitor grid conditions in real time, identify optimal locations for reactive power compensation, and ensure grid synchronization with minimal phasor measurement unit deployment. The model is developed and simulated in MATLAB, validated through hardware-based filtering, and tested on the IEEE 14-bus system to analyze the effectiveness of the proposed low voltage ride-through enhancement techniques. Results demonstrate improved stability, fault tolerance, and synchronization between the wind turbine and the grid, contributing to more reliable renewable energy integration.

Keywords: LVRT, DFIG, Type-III WT, WECS, FACT, PMU, ZIB, MMR.

Loading

Citation:

How to cite this article: Bibhu Prasad Ganthia and Praveen B. M., Enhancing Low Voltage Ride-Through Capability in Wind Energy Conversion Systems Using Phasor. International Journal of Electrical Power System and Technology. 2024; 10(02): 15-40p.

How to cite this URL: Bibhu Prasad Ganthia and Praveen B. M., Enhancing Low Voltage Ride-Through Capability in Wind Energy Conversion Systems Using Phasor. International Journal of Electrical Power System and Technology. 2024; 10(02): 15-40p. Available from:https://journalspub.com/publication/ijepst/article=13734
Full Text

Refrences:

  1. Siraj, H. Siraj, M. Nasir. Modeling and control of a doubly fed induction generator for grid integrated wind turbine. In: 2014 16th International Power Electronics and Motion Control Conference and Exposition, Antalya, Turkey. 2014. pp. 901–6.
  2. Barick CK, Mohapatra BK, Kabat SR, Jena K, Ganthia BP, Panigrahi CK. Review on Scenario of Wind Power Generation and Control. In: 2022 1st IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA), Bhubaneswar, India. 2022. pp. 12–7.
  3. Rubavathy SJ, et al. Smart Grid Based Multiagent System in Transmission Sector. In: 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India. 2021. pp. 1–5.
  4. Zheng W, Mehbodniya A, Neware R, Wawale SG, Ganthia BP, Shabaz M. Modular unmanned aerial vehicle platform design: multi-objective evolutionary system method. Comp Electr Eng. 2022;99:107838.
  5. Siva Subramanian S, Saravanakumar R, Ganthia BP, Kaliappan S, Beyan SM, Mallick M, et al. A comprehensive examination of bandgap semiconductor switches. Adv Mat Sci Eng. 2021;2021(1):3188506.
  6. Biswal BPG, Satapathy S, Patra S, Bhatta SK, Mohanty M. Prototype Design of Modified Mechanical Drive Train Gear Box System using ANSYS for Wind Power Generation. 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), Coimbatore, India. 2022. pp. 518–23.
  7. Priyadarshini L, Kundu S, Maharana MK, Ganthia BP. Controller design for the pitch control of an autonomous underwater vehicle. Eng Tech Appl Sci Res. 2022;12(4):8967–71.
  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. J Phys Conf Ser. 2022;2161(1):012069.
  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;2022(1):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.
  11. Ganthia BP, et al. Machine learning strategy to achieve maximum energy harvesting and monitoring method for solar photovoltaic panel applications. Int J Photoenergy. 2022;2022(1):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: Select Proceedings of EPREC 2021. Singapore: Springer Nature Singapore; 2022. pp. 245–54.
  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 Transactions. 2022;107(1):5655.
  14. Ganthia BP, Choudhury S, Mohanty S, Acharya SK. Mechanical Design and Power Analysis of Type-III Wind Turbine System using Computational Fluid Dynamics. In: 2022 IEEE Delhi Section Conference (DELCON), New Delhi, India. 2022. pp. 1–6.
  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(1):5663.
  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 Tech Appl Sci Res. 2022;12(3):8646–51.
  17. Ganthia BP, Barik SK, Nayak B, Priyadarshi N, Padmanaban S, Hiran KK, et al. 2 Power control of modified type III DFIG-based wind turbine system using four-mode type I fuzzy logic controller. Artif Intell Inter Thing Renew Ener 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. J Phys Conf Ser. 2022;2161(1):012068.
  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: Proceedings of ISSETA.Singapore: Springer Singapore; 2021. pp. 423–33.
  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. J Phys Conf Ser. 2022;2161(1):012066.
  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), Tadepalligudem. 2016. pp. 1–5.
  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. Mat Today Proceed. 2022;56:3355–65.
  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 Tech Res J. 2022;16(1):180–9.
  24. Sahu PK, Mohanty A, Ganthia BP, Panda AK. A multiphase interleaved boost converter for grid-connected PV system. In: 2016 International Conference on Microelectronics, Computing and Communications (MicroCom), Durgapur. 2016. pp. 1–6.
  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 Mat Sci Eng. 2017;225(1):012223.
  26. Ganthia BP, Mohanty M, Maherchandani JK. Power analysis using various types of wind turbines. Modeling and Control of Static Converters for Hybrid Storage Systems. IGI Global; 2022. pp. 271–86.
  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: ETAEERE-2016. 2018;393–401.
  28. Ganthia BP, Abhisikta A, Pradhan D, Pradhan A. A variable structured TCSC controller for power system stability enhancement. Mat Today Proceed. 2018;5(1):665–72.
  29. Ganthia BP, Pradhan R, Das S, Ganthia S. Analytical study of MPPT based PV system using fuzzy logic controller. In: 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Chennai, India. 2017. pp. 3266–9.
  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. pp. 143–74.
  31. Ganthia BP, Barik SK, Nayak B. Wind turbines in energy conversion system: Types & techniques. Renewable energy and future power systems. 2021;199–217.
  32. Ganthia BP, Barik SK, Nayak B. Shunt connected FACTS devices for LVRT capability enhancement in WECS. Eng Tech Appl Sci Res. 2020;10(3):5819–23.
  33. Ganthia BP, Agarwal V, Rout K, Pardhe MK. Optimal control study in DFIG based wind energy conversion system using PI & GA. In: 2017 International Conference on Power and Embedded Drive Control (ICPEDC), Chennai, India. 2017. pp. 343–7.
  34. Ganthia BP, Mohanty S, Rana PK, Sahu PK. Compensation of voltage sag using DVR with PI controller. In: 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, India. 2016. pp. 2138–42.
  35. Ganthia B, Mohanty M, Mohapatra S, Pradhan R, Satapathy S, Patra S, Pahadasingh S. Artificial neural network optimized load forecasting of smartgrid using MATLAB. Contr Syst Optimiz Lett. 2023;1(1):46–51.
  36. Ganthia BP, Barik SK, Nayak B. Wind Turbines in Energy Conversion System: Types & Techniques. In: Renewable Energy and Future Power Systems. Singapore: Springer; 2021. pp. 199–217.
  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(1):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(3):273–86.
  39. Ganthia BP, Barik SK, Nayak B. Shunt connected FACTS devices for LVRT capability enhancement in WECS. Eng Tech Appl Sci Res. 2020;10(3):5819–23.
  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 Tech. 2021;16(1):365–84.
  41. Gu J, Wang W, Y R, T CV, Ganthia BP. Complex circuit simulation and nonlinear characteristics analysis of GaN power switching device Nonlin Eng. 2021;10(1):555–62. doi: https://doi.org/10.1515/nleng-2021-0046.
  42. Xie H, Yatao W, Zhiliang G, Ganthia BP, Truong CV. Research on frequency parameter detection of frequency shifted track circuit based on nonlinear algorithm. Nonlin Eng. 2021;10(1):592–9.
  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(6): 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 Contin Mathemat Sci. 2020;15(6):139–57.
  45. Kabat SR, Ganthia BP, Panigrahi CP. Fuzzy logic and synchronous reference frame controlled LVRT capability enhancement in wind energy system using DVR. Turk J Comp Mathemat Educ (TURCOMAT). 2021;12(6):4899–4907.
  46. Joseph L, Ganthia BP. Ann based speed control of brush less 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;2012–2018.
  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. Vadivel Kannan L, J. N. D. D. V. M. M. S. R. K. Ganthia BP, NCR. Cascade H bridge multilevel inverter with Pwm for lower Thd, Emi & amp; Rfi reduction. Ann Roman 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 power point in solar photovoltaic system. Ann Roman Soc Cell Biol. 2021;25(6):10592–10607.
  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. pp. 389–408.
  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: Kumar J, Jena P. (editors). Recent Advances in Power Electronics and Drives. Lecture Notes in Electrical Engineering. Singapore: Springer; 2021.
  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: Udgata SK, Sethi S, Srirama SN. (editors). Intelligent Systems. Lecture Notes in Networks and Systems. Singapore: Springer; 2021.
  56. Ganthia BP, Sahu PK, Mohanty A. Minimization of total harmonic distortion using pulse width modulation technique. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) 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. Mat Today Proceed. 2018;5(1):841–7.
  58. Sahu S, Mohapatra BK, Kabat SR, Panda S, Pahadasingh S, Ganthia BP. Multiple order harmonic elimination in photo voltaic system using SPWM based eleven level cascaded H-bridge multilevel inverter.
  59. Ganthia BP, Praveen BM. Review on scenario of wind power generations in India. Electr Eng. 2023;13(2):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. In: 2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT), Bhubaneswar, India. 2023. pp. 675–80.

 

 

 

 

 Previous Article
Next Article