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Enhancing Fault Ride-Through Capacity of DFIG-Based WPs by Adaptive Backstepping Command Using Parametric Estimation in Non-Linear Forward Power Controller Design

Azeddine Loulijat, Mohamed Makhad, Abdelilah Hilali, Hamid Chojaa, Mouncеf Еl Marghichi, Mohammed Hatatah, Thamer A. H. Alghamdi

2024IEEE Access19 citationsDOIOpen Access PDF

Abstract

The principal issue associated with wind parks (WPs) based on doubly-fed induction generators (DFIGs) is their vulnerability to network faults. This paper presents a novel non-linear forward power controller design with an adaptive backstepping command using parametric estimation (NFPC_ABC-PE) to enhance fault ride-through (FRT) capacities in WP utilizing DFIGs. The suggested NFPC_ABC-PE manupiles both rotor and network-side power converters (i.e., RSPCs and NSPCs). Specifically, RSPCs are manipulated to maintain the targeted voltage at dc-bus terminals, while NSPCs are manipulated to supply the reactive energy (power) necessary if the network is disturbed. As a result, the NFPC_ABC-PE proposed precisely supplies energy reactively to ensure the smooth execution of FRT ability. The method developed comprehends the dynamics of RSPC, NSPC-side filters, and DC-bus terminal voltage in the form of electrical active and reactive output power. The parameters of the RSPC and NSPC-side filters, including those associated with the dc-bus condenser, are regarded as entirely unknown. To estimate and regulate these parameters, adaptation algorithms are utilized. The NFPC_ABC-PE employs parameter adaptation algorithms and switching control inputs designed to safeguard the overall stability of WP. The stability analysis of the DFIG-based WPs with the proposed NFPC_ABC-PE involves applying stability in the sense of the Lyapunov function (LF). To validate its efficacy, simulations are carried out on a single 10 MW power generation unit. The results of the simulation highlight a clear enhancement in the stability and FRT capability of WP, contrasting with the non-linear forward power controller employing the sliding mode command (NFPC-SMC).

Topics & Concepts

Control theory (sociology)AC powerController (irrigation)BacksteppingComputer scienceFault (geology)Power (physics)Parametric statisticsWind powerRotor (electric)Induction generatorControl engineeringVoltageEngineeringAdaptive controlMathematicsElectrical engineeringControl (management)Quantum mechanicsStatisticsGeologyBiologyPhysicsArtificial intelligenceSeismologyAgronomyWind Turbine Control SystemsWind Energy Research and DevelopmentHVDC Systems and Fault Protection