Abstract: This paper proposes an independent microgrid optimization configuration model comprising surplus solar hydrogen production and solar hydrogen storage in devices such as batteries and supercapacitors for Zhongshan Station. The special environment of Antarctica and the influence of low temperature on the power generation units are taken into consideration. The model has the following characteristics: (1) the system structure of the entire microgrid is analyzed and each device is simulated taking into consideration the real-time effects of the low temperature environment on the output of fans and solar panels, the capacity of batteries, the capacity of supercapacitors, and the power load. (2) The improved gray wolf algorithm was adopted to optimize the configuration of the microgrid for the polar environment. Constraints included the operating conditions of each equipment, the annual wind and light abandonment rate, and load loss rate. Continuous and reliable operation of the system and minimum annual average cost were the primary and secondary goals, respectively. (3) The proposed method was verified with a numerical experiment. Experimental results show that the proposed algorithm can be used to design a microgrid with a wide range and superior convergence and accuracy. The results of this study can serve as a reference for future developments.

Key words: renewable energy, microgrids, optimization algorithms, energy storage, polar environment