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Performance Evaluation of Grid-Connected DFIG-Based WECS with Battery Energy Storage System under Wind Alterations Using FOPID Controller for RSC

Author

Listed:
  • Pradeep Singh

    (School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144411, India)

  • Krishan Arora

    (School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144411, India)

  • Umesh C. Rathore

    (Department of Electrical Engineering, Atal Bihari Vajpayee Government Institute of Engineering & Technology-Pragtinagar, Shimla 171202, India)

  • Eunmok Yang

    (Department of Financial Information Security, Kookmin University, Seoul 02707, Republic of Korea)

  • Gyanendra Prasad Joshi

    (Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea)

  • Kwang Chul Son

    (Department of Information Contents, Kwangwoon University, Seoul 01897, Republic of Korea)

Abstract

In the present energy scenario, wind energy is the fastest-growing renewable energy resource on the globe. However, wind-energy-based generation systems are also associated with increasing demands for power quality and active power control in the power network. With the advancements in power-electronics-based technology and its use in non-conventional energy conversion systems, it has witnessed tremendous growth in wind energy conversion systems (WECSs). At the same time, integrating wind farms into the grid system also results in many power quality issues in the power system that involve these renewable energy sources feeding power networks. This paper reports the effectiveness of grid-connected doubly fed induction generator (DFIG)-based WECS with a battery energy storage system (BESS) under variable wind conditions. In this study, a rotor side converter (RSC) is controlled to achieve the optimal torque for a given maximal wind power. The control scheme is simulated using MATLAB for a 2 MW-rated DFIG used in a WECS. Additionally, in this paper, a new fraction order proportional integral derivative (FOPID) controller is introduced into the system’s RSC, and its performance is also observed. The BESS technique is used with a DC link to improve the overall performance of the DFIG-based WECS under different wind conditions. To control the BESS, a proportional integral (PI) controller is introduced to increase the charging and discharging rates. Two models are developed in MATLAB/Simulink: one model is a basic model, and other model is equipped with a BESS and a PI controller in the BESS. The results validate the effectiveness of the proposed PI-controller-equipped BESS at improving the overall performance of the WECS system under study.

Suggested Citation

  • Pradeep Singh & Krishan Arora & Umesh C. Rathore & Eunmok Yang & Gyanendra Prasad Joshi & Kwang Chul Son, 2023. "Performance Evaluation of Grid-Connected DFIG-Based WECS with Battery Energy Storage System under Wind Alterations Using FOPID Controller for RSC," Mathematics, MDPI, vol. 11(9), pages 1-29, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:9:p:2100-:d:1135950
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    References listed on IDEAS

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    1. Kusiak, Andrew & Zheng, Haiyang & Song, Zhe, 2009. "On-line monitoring of power curves," Renewable Energy, Elsevier, vol. 34(6), pages 1487-1493.
    2. Charles Rajesh Kumar J & Vinod Kumar D & MA Majid, 2019. "Wind energy programme in India: Emerging energy alternatives for sustainable growth," Energy & Environment, , vol. 30(7), pages 1135-1189, November.
    3. Irfan Sami & Shafaat Ullah & Zahoor Ali & Nasim Ullah & Jong-Suk Ro, 2020. "A Super Twisting Fractional Order Terminal Sliding Mode Control for DFIG-Based Wind Energy Conversion System," Energies, MDPI, vol. 13(9), pages 1-20, May.
    4. Dufo-López, Rodolfo & Lujano-Rojas, Juan M. & Bernal-Agustín, José L., 2014. "Comparison of different lead–acid battery lifetime prediction models for use in simulation of stand-alone photovoltaic systems," Applied Energy, Elsevier, vol. 115(C), pages 242-253.
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