Because multiple wind farms are connected to the grid at the same time and the total amount of energy in the same wind zone is limited, there is a strong correlation between wind farms with similar geographical locations. Neglecting this correlation can lead to a large difference between wind power analysis and actual operation, which in turn leads to a series of adverse consequences. In this paper, we use nuclear density estimation to establish the edge distribution of wind power output, compare and analyze various Copula functions based on correlation parameters and entropy weight optimization theory. The simulation analysis results show that the Clayton-Copula function is the best correlation function, which can describe the tail part of the random time series more accurately.
With the continuous improvement of renewable energy penetration, the inertia and primary frequency modulation capability of synchronous power grid are declining. If the virtual synchronous generator (VSG) technology is used for renewable energy generation, it can make due contribution to reducing the frequency variation and frequency deviation of the system under the impact of high power gap. The inertia support and primary frequency modulation function positioning in VSG research are not clear. In this paper, the inertia support function of VSG and its physical significance are analyzed, the expression of inertia support power of VSG is deduced, the location distinction between inertia support function of VSG and primary frequency modulation function is analyzed, and the different control function pairs of VSG in the process of large synchronous power grid frequency accident are simulated and analyzed,and study the effect of system frequency variation.
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