| Summary: | The capacity optimization and allocation of hybrid microgrid with multiple distributed generations is an important aspect of microgrid design. The capacity allocation problem of the integrated microgrid system involving wind farm,photovoltaic power station and hydrogen production-hydrogen storage-power generation system is studied in this paper. Firstly,three investors of wind power,photovoltaic and hydrogen generation-hydrogen storage-power generation system are established,and the optimal allocation model of wind-photovoltaic-hydrogen microgrid capacity based on non-cooperative game is established with the goal of maximizing the profit of each investor. Secondly,considering economic factors such as investment cost,operation and maintenance cost,power purchase and sale cost,wind and light abandonment penalties and load interruption penalties of each game player,the capacity allocation of participants in the game is optimized individually using the particle swarm algorithm. Meanwhile,the Nash equilibrium point that maximizes the revenue of each game player is determined. Finally,the wind speed and light intensity data of a typical month in the region of Xinjiang is used for the arithmetic analysis of the microgrid capacity configuration. The results show that the model can ensure the reliability of power supply with relatively low monthly integrated cost and realize the reasonable allocation of microgrid system capacity.
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