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Inertia Estimation for Microgrid Considering the Impact of Wind Conditions on Doubly-Fed Induction Generators

Yingjun Wu, Xiang Zhao, Junjie Shao, Xuejie Chen, Jiangfan Yuan, Juefei Wang

2024IEEE Transactions on Sustainable Energy12 citationsDOI

Abstract

With wind power penetration increasing, it is crucial to accurately estimate the impact of wind power generation on grid inertia levels. This paper proposes a microgrid inertia estimation model with distributed wind power generation, considering the impact of wind conditions on doubly-fed induction generators (DFIG). The frequency response mechanisms of a DFIG-based wind turbine (WT) are investigated across different wind speed zones. A non-synchronous inertia matrix is formulated, accounting for the impact of varying wind speeds. A Multiple-Input Single-Output (MISO)-based identification method is proposed for identifying the elements of the inertia matrix. The simulation reveals that the wind speed affects the microgrid inertia response through the turbine speed control. The method can assess the risk of frequency issues and assist in the safe and stable operation of microgrids.

Topics & Concepts

MicrogridWind powerInertiaControl theory (sociology)TurbineWind speedInduction generatorEngineeringComputer scienceRenewable energyPhysicsControl (management)Electrical engineeringMeteorologyArtificial intelligenceMechanical engineeringClassical mechanicsWind Turbine Control SystemsMicrogrid Control and OptimizationEnergy Load and Power Forecasting