Due to the decoupling of the rotor speed and the system frequency, the doubly-fed induction generator (DFIG) cannot participate in the primary frequency regulation of the system, which reduces the stability of the wind turbine system with a high proportion. In the traditional integrated control, the fixed coefficient is usually used, which can not change the parameters in real time according to the change of wind speed and system frequency to participate in the system frequency modulation.Therefore, in order to improve the ability of the wind turbine to respond to the frequency of the system, this paper proposes a wind turbine primary frequency modulation strategy based on adaptive control.By combining the adaptive load reduction control with the adaptive virtual inertia integrated control, the load reduction ratio, the virtual inertia coefficient and the droop coefficient can be adjusted adaptively with the actual wind condition and the system frequency deviation.The simulation results show that the adaptive control strategy can improve the ability of the wind turbine to participate in the primary frequency modulation of the system, so as to improve the safety and reliability of the system.
Because electric vehicles have many advantages such as low carbon, environmental protection, and low cost compared with fuel vehicles, electric vehicles have developed rapidly in recent years, which will lead to large-scale impact load. In this paper, the electric vehicle is regarded as an energy storage device, a multi-energy VPP electric thermal scheduling model including electric vehicles is established, and a scheduling strategy for electric vehicles to participate in the power system scheduling is proposed. With the minimum cost of VPP and the minimum carbon dioxide emissions as the optimization objectives, the relevant objective functions are described, and equality constraints and inequality constraints are applied to them. Then, the improved algorithm is applied to solve the model. The results of the example analysis show that the virtual power plant system model with electric vehicles established in this paper can reduce the operating cost of the VPP system, reduce carbon emissions, and be conducive to the safe, low-carbon, and economic operation of the power system.
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