Zhou Jinhui

TL;DR: In this article, a power distribution network optimization scheduling method based on an electric vehicle two-stage rolling strategy is proposed, where a real-time scheduling strategy of the electric vehicle is obtained through a grouping mechanism, and the prediction value is updated in a twostage rolling manner.

TL;DR: In this article, a photovoltaic power distribution network voltage prediction method based on an EMD-CNN deep neural network was proposed, which achieved high-precision prediction of the voltage of a high-proportion PV distribution network in a targeted mode through a data mining means, the voltage change trend was mastered, and the powerful data support was provided for intelligent and efficient operation of reactive voltage.

TL;DR: In this paper, a power impedance topological graph generation method and system for a power distribution area is described, and the method comprises the steps: firstly obtaining the A/B/C three phases of the power distribution transformer side and the time sequence voltage data of each user load node, determining the phase relation of each load node through a K-means clustering method, and constructing a feature coefficient matrix for the divided three phases; generating a single-phase topological adjacency matrix of the transformer area with line impedance information and geographic information coordinates to form an electric

TL;DR: In this article, a low-voltage power distribution network topology identification method and system based on a logistic regression method is presented. But the method is not suitable for large-scale complex modeling and consumes a large amount of time.