Damping of Subsynchronous Resonance in Utility DFIG-Based Wind Farms Using Wide-Area Fuzzy Control Approach

Yaser Bostani, Saeid Jalilzadeh, Saleh Mobayen, Thaned Rojsiraphisal and Andrzej Bartoszewicz
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Yaser Bostani: Department of Electrical Engineering, University of Zanjan, Zanjan 45371-38791, Iran
Saeid Jalilzadeh: Department of Electrical Engineering, University of Zanjan, Zanjan 45371-38791, Iran
Saleh Mobayen: Department of Electrical Engineering, University of Zanjan, Zanjan 45371-38791, Iran
Thaned Rojsiraphisal: Advanced Research Center for Computational Simulation, Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand
Andrzej Bartoszewicz: Institute of Automatic Control, Lodz University of Technology, 18 Stefanowskiego St., 90-537 Lodz, Poland

Energies, 2022, vol. 15, issue 5, 1-15

Abstract: This paper presents a novel fuzzy control scheme for damping the subsynchronous resonance (SSR) according to the wide-area measurement system (WAMS) in power systems including doubly fed induction generator (DFIG)-based wind farms connected to series capacitive compensated transmission networks. The SSR damping is attained by adding the fuzzy controller as a supplementary signal at the stator voltage loop of the grid-side converter (GSC) of DFIG wind farms. Additionally, time delays due to communication signals are important when using WAMSs. If the time delays are ignored, it causes system instability. In this paper, the time delays are modeled with a separate fuzzy input to the controller. The new fuzzy control approach is executed by using the angular velocity of synchronous generators (w) and its variation in the angular velocity (dw/dt). The effectiveness and success of the WAMS-based fuzzy controller is demonstrated by comparison with the particle swarm optimization (PSO) and imperialist competitive algorithm (ICA) optimization methods. The efficacy and validity of the planned auxiliary damping control are verified on a modified version of the IEEE second benchmark model including DFIG-based wind farms via time simulations using the MATLAB/Simulink toolbox.

Keywords: transmission line; wind farm; fuzzy control; subsynchronous resonance; DFIG (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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