Wind Power Frequency Control in Doubly FED Induction Generator Using CFMPC-FOPID Controller Scheme

Authors

  • Bershiya M S Maria College of Engineering and Technology, India
  • Jasphin Melba Maria College of Engineering and Technology, India
  • Shibu J V Bright Maria College of Engineering and Technology, India
  • Evangelin Jeba Maria College of Engineering and Technology, India

DOI:

https://doi.org/10.31961/eltikom.v7i2.777

Keywords:

Cascaded Fractional Model Predictive Controller, Fractional-Order PID controller, Frequency deviation, Wind power frequency control, Wind speed

Abstract

Because the majority of wind turbines operate in maximum output power tracking mode, power system frequency cannot be supported. However, if the penetration rate of wind power increases, the system inertia related to frequency modulation may decrease. In addition, frequency stability will be severely affected in the event of significant disturbances to the system load. Due to the high penetration of wind power in isolated power systems, this study suggests a coordinated frequency management approach for emergency frequency regulation. In order to prevent the phenomenon of load frequency control in doubly fed induction generators (DFIGs), a unique efficient control scheme is developed. The Cascaded Fractional Model Predictive Controller coupled with Fractional-Order PID controller (CFMPC-FOPID) is developed to provide the DFIG system with an efficient reaction to changes in load and system parameters. The proposed controller must have a robust tendency to respond quickly in terms of minimum settling time, undershoot, and overshoot. Nonlinear feedback controllers are designed using frequency deviations and power imbalances to achieve the reserve power distribution between generators and DFIGs in a variety of wind speed conditions. It makes upgrading quick and easy. In Matlab/Simulink, a simulation model is built to test the viability of the suggested approach.

Downloads

Download data is not yet available.

References

W. Gorman, S. Jarvis, and D. Callaway, “Should I Stay Or Should I Go? The importance of electricity rate design for household defection from the power grid,” Appl. Energy, vol. 262, p. 114494, 2020.

A. K. Barik, S. Jaiswal, and D. C. Das, “Recent trends and development in hybrid microgrid: a review on energy resource planning and control,” Int. J. Sustain. Energy, vol. 41, no. 4, pp. 308–322, 2022.

M. M. Gulzar, M. Iqbal, S. Shahzad, H. A. Muqeet, M. Shahzad, and M. M. Hussain, “Load frequency control (LFC) strategies in renewable energy-based hybrid power systems: A review,” Energies, vol. 15, no. 10, p. 3488, 2022.

H. Abubakr et al., “Adaptive LFC incorporating modified virtual rotor to regulate frequency and tie-line power flow in multi-area microgrids,” IEEE Access, vol. 10, pp. 33248–33268, 2022.

M. Auffhammer, M. Wang, L. Xie, and J. Xu, “Renewable electricity development in China: Policies, performance, and challenges,” Rev. Environ. Econ. Policy, vol. 15, no. 2, pp. 323–339, 2021.

J. Lin, Y. Sun, Y. Song, W. Gao, and P. Sorensen, “Wind power fluctuation smoothing controller based on risk assessment of grid frequency deviation in an isolated system,” IEEE Trans. Sustain. Energy, vol. 4, no. 2, pp. 379–392, 2012.

N. Hatziargyriou, I. Margaris, I. Stavropoulou, S. Papathanassiou, and A. Dimeas, “Noninterconnected island systems: The Greek case,” IEEE Electrif. Mag., vol. 5, no. 2, pp. 17–27, 2017.

J. E. Nielsen and J. Østergaard, “The bornholm power system-an overview,” Cent. Electr. Technol. Tech. Univ. Denmark, 2008.

O. Weiss, D. Bogdanov, K. Salovaara, and S. Honkapuro, “Market designs for a 100% renewable energy system: Case isolated power system of Israel,” Energy, vol. 119, pp. 266–277, 2017.

T. T. Teo et al., “Optimization of fuzzy energy-management system for grid-connected microgrid using NSGA-II,” IEEE Trans. Cybern., vol. 51, no. 11, pp. 5375–5386, 2020.

P. S. Kumar, R. P. S. Chandrasena, V. Ramu, G. N. Srinivas, and K. V. S. M. Babu, “Energy management system for small scale hybrid wind solar battery based microgrid,” IEEE access, vol. 8, pp. 8336–8345, 2020.

Y. Belkhier, A. Achour, R. N. Shaw, W. Sahraoui, and A. Ghosh, “Adaptive linear feedback energy-based backstepping and PID control strategy for PMSG driven by a grid-connected wind turbine,” in Innovations in Electrical and Electronic Engineering: Proceedings of ICEEE 2021, Springer, 2021, pp. 177–189.

M. A. Mossa, O. Gam, and N. Bianchi, “Dynamic performance enhancement of a renewable energy system for grid connection and stand-alone operation with battery storage,” Energies, vol. 15, no. 3, p. 1002, 2022.

M. Ben Smida, A. Sakly, S. Vaidyanathan, and A. T. Azar, “Control-based maximum power point tracking for a grid-connected hybrid renewable energy system optimized by particle swarm optimization,” in Research Anthology on Clean Energy Management and Solutions, IGI Global, 2021, pp. 353–384.

B. P. Ganthia and S. K. Barik, “Fault analysis of PI and fuzzy-logic-controlled DFIG-based grid-connected wind energy conversion system,” J. Inst. Eng. Ser. B, pp. 1–23, 2022.

R. Sedaghati and M. R. Shakarami, “A novel control strategy and power management of hybrid PV/FC/SC/battery renewable power system-based grid-connected microgrid,” Sustain. Cities Soc., vol. 44, pp. 830–843, 2019.

Y. Belkhier, A. Achour, and R. N. Shaw, “Fuzzy passivity-based voltage controller strategy of grid-connected PMSG-based wind renewable energy system,” in 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), IEEE, 2020, pp. 210–214.

M. K. K. Prince, M. T. Arif, A. Gargoom, A. M. T. Oo, and M. E. Haque, “Modeling, parameter measurement, and control of PMSG-based grid-connected wind energy conversion system,” J. Mod. Power Syst. Clean Energy, vol. 9, no. 5, pp. 1054–1065, 2021.

P. Shabnam, A. K. Priyanka, T. V. Muni, and S. Rajasekhar, “PID controller based grid connected wind turbine energy system for power quality improvement,” J. Crit. Rev., vol. 7, no. 7, pp. 31–35, 2020.

M. M. Gulzar, D. Sibtain, A. F. Murtaza, S. Murawwat, M. Saadi, and A. Jameel, “Adaptive fuzzy based optimized proportional‐integral controller to mitigate the frequency oscillation of multi‐area photovoltaic thermal system,” Int. Trans. Electr. Energy Syst., vol. 31, no. 1, p. e12643, 2021.

M.-R. Chen, G.-Q. Zeng, and X.-Q. Xie, “Population extremal optimization-based extended distributed model predictive load frequency control of multi-area interconnected power systems,” J. Franklin Inst., vol. 355, no. 17, pp. 8266–8295, 2018.

B. Mohanty, S. Panda, and P. K. Hota, “Differential evolution algorithm based automatic generation control for interconnected power systems with non-linearity,” Alexandria Eng. J., vol. 53, no. 3, pp. 537–552, 2014.

B. Mohanty, S. Panda, and P. K. Hota, “Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system,” Int. J. Electr. power energy Syst., vol. 54, pp. 77–85, 2014.

J. Sharma, Y. V Hote, and R. Prasad, “Robust PID load frequency controller design with specific gain and phase margin for multi-area power systems,” IFAC-PapersOnLine, vol. 51, no. 4, pp. 627–632, 2018

Downloads

Published

29-12-2023

How to Cite

[1]
M S, B. et al. 2023. Wind Power Frequency Control in Doubly FED Induction Generator Using CFMPC-FOPID Controller Scheme. Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer. 7, 2 (Dec. 2023), 133–144. DOI:https://doi.org/10.31961/eltikom.v7i2.777.

Issue

Section

Articles