Wind power area boundary accurate modeling method based on diamond convex hull set theory

Abstract

The invention provides a wind power area boundary accurate modeling method based on the diamond convex hull set theory. The method can be applied to a system unit combination scheduling strategy, power distribution network economic planning, large power grid small interference interval stability analysis and the like, and has high practical significance. The method specifically comprises the following steps: firstly, constructing a high-dimensional ellipsoid set based on a historical data sample, then solving high-dimensional ellipsoid parameters based on a Khachiyan algorithm, and then constructing a high-dimensional rhombic convex hull set through rotation and translation transformation, and finally, correcting the obtained high-dimensional rhombic convex hull set based on a scaling transformation technology, and reducing and determining a boundary value of the high-dimensional diamond uncertainty set according to vertex coordinates. Compared with a traditional set confidence interval form and a cambered surface convex hull model, the method provided by the invention not only fully considers the correlation between random variables, but also adopts a linear diamond generalized convex hull representation form to eliminate additional non-existing scenes, so that the prediction conservative property is reduced, and the introduction of linear programming constraint conditions is facilitated.

Description

technical field [0001] The invention relates to the technical field of new energy forecasting modeling, in particular to an accurate modeling method for wind power region boundaries based on rhombic convex hull set theory. Background technique [0002] Wind power, photovoltaics and other new energy grid-connected power generation as a way to reduce CO 2 The important pathways of emissions have been widely concerned by countries all over the world. "my country will speed up the adjustment of energy structure, reduce coal consumption, stabilize oil and gas supply, and substantially increase the proportion of clean energy. In 2019, my country's non-fossil energy accounted for 15.3% of primary energy consumption. Strive to reach the peak of carbon dioxide emissions before 2030, 2060 to achieve carbon neutrality. [0003] With the increasing penetration of new energy sources such as photovoltaics and wind power in the power grid, the inherent volatility and uncertainty of these ...

AI Technical Summary

Problems solved by technology

However, interval sets believe that there is no correlation between uncertain parameters. When interval sets are used to describe uncertain parameters, interval sets will additionally consider some non-existent scenarios, which will lead to a relatively conservative decision.

Images