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Black-Box Impedance Prediction of Grid-Tied VSCs Under Variable Operating Conditions

Qi Qiu, Yifan Huang, Rui Ma, Jürgen Kurths, Meng Zhan

2021IEEE Access19 citationsDOIOpen Access PDF

Abstract

Impedance/admittance models (IM/AMs) have been widely used to analyze the small-signal stability of grid-tied power electronic devices, such as the voltage source converter (VSC). They can be either derived from theoretical analysis under white-box conditions, where all parameters and control structures are fully known, or measured based on experiments under black-box conditions, where the topology and parameters of the controllers are completely unknown. As the IM/AMs depend on specific operating conditions, it is highly desirable to develop fast algorithms for IM/AM prediction (or estimation) under the black-box and variable-operating-point conditions. This article extends the nearly-decoupled AM method for sequence AMs proposed recently by Liu <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al</i> to fit any unknown control structure, including not only grid-following VSC, but also grid-forming VSC. It is, therefore, referred to as the fully-decoupled IM (FDIM) method. Furthermore, a curve fitting method for the transfer function is proposed to expedite the algorithm, based on the information of a few disturbance frequencies only. Finally, the algorithm is verified by wide simulations and experiments under different situations, including the direct-drive wind turbine generator. The whole approach is expected to be broadly applicable to the stability analysis of power-electronic-based power systems under variable operating conditions.

Topics & Concepts

Black boxComputer scienceGridOperating pointStability (learning theory)Variable (mathematics)Electrical impedanceControl theory (sociology)Transfer functionAdmittancePower (physics)Variable speed wind turbineTopology (electrical circuits)PhasorGenerator (circuit theory)Electronic engineeringElectric power systemEngineeringMathematicsElectrical engineeringControl (management)PhysicsMathematical analysisQuantum mechanicsGeometryMachine learningArtificial intelligenceMicrogrid Control and OptimizationHVDC Systems and Fault ProtectionIslanding Detection in Power Systems
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