An Advance Control of Grid Integrated Wind Turbine Driven DFIG-Battery System with Grid Power Shaping Under Gust Wind Variation

Abstract

There has been an increase in wind power penetration into the utility grid. The wind speed variations exhibit undesirable oscillations that influence power quality and system reliability. Therefore, the grid operation is challenging in this scenario. Battery energy storage system (BESS) smooths out wind power production and reduces fluctuations. However BESSs low power density and high capacity requirements to compensate for fluctuation limit its implementation for high-power applications. This paper introduces a wind energy conversion system (WECS) based on a doubly fed induction generator (DFIG) incorporating a vanadium redox flow battery (VRFB) in the DC-link, which supports grid power smoothing and power balance even under varying wind speed. Real-site wind data was used to develop a technique for designing the VRFB. The rotor side converter (RSC) employs an off-maximum power point tracking to keep the VRFB operation within the limit and deliver consistent power to the grid. An improved phase lock loop control is designed for DFIG that suppresses DC offset at the input and allows RSC and grid side converter (GSC) to perform appropriately even under grid disturbances. The GSC control is designed with an improved DC-link voltage control by adopting an anti-windup fractional-order proportional-integral (AWFOPI) controller, which can improve transient response. A sparrow search algorithm is adopted to tune the AWFOPI controller. Matlab Simulink is used to simulate the system. Test results show that the system performs well under various operating conditions and is satisfactory. It has also been tested on the OPAL-RT real-time simulator test bench.

KEYWORDS:

• Doubly fed induction generator
• Flow battery
• Fractional order control
• Improved PLL
• Power smoothing
• Sparrow search algorithm

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Alok Ranjan

Alok Ranjan received the BTech degree in electrical engineering from Bhagalpur College of Engineering Bhagalpur, Bihar in 2020 and MTech degree in power and energy system engineering from National Institute of Technology (NIT) Silchar, India since 2022. He is currently working towards PhD degree in electrical engineering from the Indian Institute of Technology (IIT), Dhanbad, India. His current research interests include doubly fed induction generator-based wind energy conversion systems, microgrid integration, and renewable energies. Email: [email protected]

Manoja Kumar Behera

Manoja Kumar Behera received the BTech degree in electrical engineering and the MTech degree in electrical and electronics engineering from Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, India, in 2015 and 2017, respectively. He is currently working toward the PhD degree in electrical engineering from the NIT Silchar, Assam, India. His research interests include renewable power generation forecasting, PV MPPT, microgrid control, parallel operation of inverters in microgrids, energy management and control, power quality, and renewable energy grid integration. Corresponding author. Email: [email protected]

Lalit Chandra Saikia

Lalit Chandra Saikia received BE degree in electrical engineering from Dibrugarh University, Assam, India, in 1993, an MTech degree in power systems from the IIT Delhi, New Delhi, India, in 2007, and in 2012, he received PhD degree in electrical engineering from the NIT Silchar, Assam, India. Currently, he is an associate professor with the Department of electrical engineering, NIT Silchar, Assam, India. He has guided 11 PhD dissertations and 17 MTech theses. He is presently serving as an academic editor for International Transactions on Electrical Energy Systems. He has two patents and authored or co-authored more than 170 research articles. His research interests include power system control, application of soft computing in engineering, power quality, distributed generation, power system deregulation, automatic generation control and microgrid control. Email: [email protected]