Explanation of the loss of wind-solar complementary power supply for communication base stations

The complementary development of wind and photovoltaic energy can enhance the integration of variable renewables into the future energy structure. It can be employed as a unified solution to address the discrepancy between the supply and demand of power within the power system .

Utilizing the clustering outcomes, we computed the complementary coefficient R between the wind speed of wind power stations and the radiation of photovoltaic stations, resulting in the following complementary coefficient matrix (Fig. 17.).

Studying the complementarity between wind and solar energy is crucial for optimizing the use of these renewable resources. Multi-energy compensation systems need to consider multiple metrics, and current research relies on the correlation of single metrics to study this complementarity.

The wind and solar complementarity in China is lower in the east and higher in the west. On an hourly scale, the complementary shows a downward trend, especially in central and eastern China. The peak-valley difference and fluctuation of net load demand will increase in China particularly under SSP5-8.5.

Analysis of the matrix reveals that the 4th, 5th, 7th, and 8th clusters of wind power stations exhibit the weakest complementarity with the radiation of photovoltaic stations. In contrast, the 5th, 7th, 8th, and 10th clusters of photovoltaic stations similarly demonstrate poor complementarity with the wind speed of wind power stations.

Previous studies have primarily used the Pearson correlation coefficient (CC) and similar metrics to evaluate the complementarity of wind and solar resources. For instance, Che et al. directly calculated Pearson CC to analyze the complementarity between wind and solar power and between wind and hydropower.