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A review of small-signal stability analysis of DFIG-based wind power system

N. R. Nkosi, Ramesh C. Bansal, T. Adefarati, Raj Naidoo, Sanjay Bansal

2022International Journal of Modelling and Simulation19 citationsDOI

Abstract

Owing to the rapid incorporation of doubly fed induction generator (DFIG)-based wind farms into the power system, the sustainability of the power system has been a major concern of system planners, operators, engineers, etc. This has necessitated a proper investigation to be implemented in the stability of the power system. The small-signal stability analysis can be used to predict the dynamic behaviour of the power system and the sustainability of energy with the application of DFIGs. The state-of-the-art of DFIG, its impacts on small signal stability and the potential effects are proposed in this paper. The control techniques on DFIG to enhance damping qualities of the power system are also presented. This paper reviews the small-signal stability analysis of wind power system integrated with DFIG-based wind farms. The developments that have been made till-date towards attaining models of DFIG-based wind farms will give a definitive conclusion about small-signal stability. The prediction methods and impacts of integrating DFIG-based wind power into the power system are reported together with their limiting factors. Lastly, the techniques that have been presented in the paper will improve the small-signal stability and guarantee the future sustainability of power supply.

Topics & Concepts

Wind powerControl theory (sociology)Electric power systemInduction generatorSIGNAL (programming language)Stability (learning theory)Doubly fed electric machinePower (physics)EngineeringControl engineeringAC powerComputer scienceControl (management)VoltageElectrical engineeringPhysicsProgramming languageQuantum mechanicsArtificial intelligenceMachine learningWind Turbine Control SystemsMicrogrid Control and OptimizationPower System Optimization and Stability
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