Photovoltaic-load model based-on load and power supply correlation

Photovoltaic power generation has become a nonnegligible part of hybrid power generation in regions with sufficient solar energy or countries. Aiming at the correlation of light intensity and load fluctuations, this paper proposes a new photovoltaic-load model method for building correlations. The non-parametric kernel density estimation method was used to analyze the probability distribution of light intensity and node load, and the corresponding bandwidth was obtained. The correlation between light intensity and node load was analyzed by using Kendall rank correlation coefficient. The load nodes were divided into strong light intensity related nodes and illumination. There are two types of weakly correlated nodes; for the node with strong light intensity, the Copula function is used to establish the photovoltaic-load correlation model. For the weakly correlated nodes of light intensity, the Latin hypercube sampling method was used to establish the load fluctuation model. Finally, the 220kV system in B city is taken as an example to verify the practicability and effectiveness of the proposed model.