Incomplete Dimensionality Augmentation-Based Optimization Method for Data-Driven Power System, and Application Thereof

Abstract

Disclosed is an incomplete dimensionality augmentation-based optimization method for a data-driven power system. By dividing a power flow independent variable into a control variable and a disturbance variable, such as power of a controllable power supply and an uncontrolled voltage amplitude, only the disturbance variable is subjected to dimensionality augmentation, to adapt to the nonlinear characteristic of the power flow; and the control variable keeps a power flow constraint as a linearized expression of the control variable, thereby simplifying a power flow constraint form and solution, and achieving a higher-accuracy of optimization. The power optimization scheduling of distributed photovoltaic can be implemented by the optimization method provided in the present invention.

Dependencies are inferred from the claim text.