Abstract
This paper proposes a Configuration method for energy storage (ES), in which the ES inertia of ES is equal to an equal capacity synchronous generator. The purpose is to enhance the frequency modulation capability of double-fed induction generator (DFIG) and wind power consumption. Through the proposed method, the system inertia can remain unchanged after the DFIGs replacing the conventional turbines. During the DFIG rotor speed recovery, the ES releases energy to compensate for sudden changes in active power. On this basis, the DFIG and ES structure model is created, and the ES control strategy is optimized, thereby effectively improving the DFIG frequency modulation capability. Besides, in the non-frequency modulation period, the ES is used to suppress wind power fluctuations, thereby improving system wind power consumption and ES utilization. Simulation results indicate, in the ES-embedded wind turbine structure model, the combination of the ES Configuration method and multi-functional strategy significantly improves the frequency modulation ability and anti-interference performance of a single DFIG. Moreover, the wind power consumption and ES utilization are improved, and the ES achieves additional value.
Highlights
Due to the decoupling of mechanical and electrical parts, doubly-fed induction generators (DFIG) cannot respond to grid frequency changes in time through inertia controls
This paper proposes an energy storage (ES) Configuration method based on the inertial response and optimizes the DFIG and ES structure model and coordinated control strategy
This study aims to improve the overall frequency modulation capability of the DFIG and ES system, the wind power consumption, and ES utilization
Summary
Due to the decoupling of mechanical and electrical parts, doubly-fed induction generators (DFIG) cannot respond to grid frequency changes in time through inertia controls. The system inertia decreases, and the frequency offset risk increases with large-scale wind farm integration [1,2]. After large-scale wind farms are connected to the system, the frequency support capacity decreases. Common control strategies include virtual inertia control [4,5], rotor overspeed and pitch angle control [6,7,8], droop control [9], and a combination of multiple strategies [10]. The virtual inertia control uses the DFIG rotor kinetic energy to provide inertial support for the system. Under the virtual inertia control, the rotor speed is relatively low at low wind speed, limiting the supporting capacity [11]. Many DFIGs simultaneously start the rotor speed recovery at the end of inertia, which leads to the secondary frequency drop [4]
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