Charge Standards for Wind-Solar Complementary Ground Wave Communication Base Stations
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6 FAQs about [Charge Standards for Wind-Solar Complementary Ground Wave Communication Base Stations]
What is the complementary coefficient between wind power stations and photovoltaic stations?
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.).
Which cluster of wind power stations exhibit the weakest complementarity with radiation?
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.
Does the regional wind-PV power complementarity index consider fluctuation?
Although the wind and PV power output processes are uncontrollable, the wind and PV power output of the power system is complementary to each other in terms of certainty and randomness. Therefore, the regional wind-PV power complementarity index considers fluctuation (CICF), is adopted in this study.
What is the capacity rate of wind and PV power?
With complementarity as the measurement standard, it can be concluded that the capacity rate of wind and PV power should be 0.43:0.57. The wind-PV power output complementarity evaluation index of the WMCB power system in the downstream Yalong River basin is βCICF=0.1391. 4.2.
How do we evaluate the complementarity of wind and solar resources?
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.
What is the complementarity evaluation index of a wind power system?
The complementarity evaluation index of the power system first increases and then decreases with an increasing PV capacity rate. When the wind power capacity rate is 43%, the complementarity evaluation index reaches the largest value, and the complementarity of the wind-PV reaches the best value.
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