Abstract
In a traditional DC microgrid, the power sharing control strategy has been always used in the distributed power converters, resulting in not making outer power allocation arbitrarily. In order to solve the power output allocation problem of wind power in DC microgrid, the intelligent Buck circuit based on PI algorithm and the load current feed-forward method was used to realize the arbitrary regulation of the output power of the wind power in the DC microgrid system. Compared with traditional distributed generators power-sharing method, the simulation and experimental results show the proposed method can realize arbitrary power outputting from distributed generators. Finally, the simulation and experimental results prove the validity and effectiveness of the control method.
Highlights
Due to the energy crisis in the new era and the pressure of environmental protection, the demand for new energy power generation technology is becoming increasingly urgent
We study two terminal low voltage DC microgrid based on wind power and batteries
The wind power simulator is connected with the new intelligent Buck in series and connected to the DC bus, and connected to the resistive load
Summary
Due to the energy crisis in the new era and the pressure of environmental protection, the demand for new energy power generation technology is becoming increasingly urgent. The microgrid system consisting of new energy DG(distributed generations) has attracted much attention and support in society [1].Modern household appliances are mostly low voltage and small power DC loads. Literature [2] shows an average current model making the DC/DC converters outputting equal current; The active DC/DC module is studied in document[3]. These method can only achieve equal power outputting of each distribution power supply. We study two terminal low voltage DC microgrid based on wind power and batteries. The wind power simulator is connected with the new intelligent Buck in series and connected to the DC bus, and connected to the resistive load.
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