Other

State Grid Corporation of China

North China Electric Power University

State Grid Tianjin Electric Power Company

China Electric Power Research Institute Company Limited

State Grid Beijing Electric Power Company

Liqiang Zhao

Ning Li

Ye Li

Yong Yang

Xiaohui Wang

Guohua Liu

Juan Du

Lina Zhang

Zhihong Li

Kun Xu

Lei Dong

Tianjiao Pu

Shubao Hu

Jiancheng Yu

Renle Huang

Xianjun Ge

Mengmeng Ning

Minghao Ai

Fumin Qu

Yuanzhao Jia

Naishi Chen

Provided are a phase transition material fluid and a proppant formed therefrom, wherein the components for preparing the phase transition material fluid comprise in percentages by mass: a supramolecular building block 10 to 60 wt %, a supramolecular functional unit 20 to 50 wt %, a dispersant 0.1 to 2 wt %, an inorganic co-builder 0.1 to 1 wt %, an initiator 0.1 to 1 wt %, the balance being a solvent. The supramolecular building block comprises a melamine-based substance and/or a triazine-based substance; the supramolecular functional unit comprises a dicyclopentadiene resin; and the dispersant includes a hydroxyl-bearing polysaccharide substance and a surfactant. After the phase transition material fluid enters the reservoir, it may form a solid substance to prop the fracture under the action of supramolecular chemistry and physics.

Phase transition material fluid and proppant formed therefrom

An active power distribution network multi-time scale coordinated optimization scheduling method and storage medium are provided. The method includes the following steps: performing long-time scale optimization scheduling of an active power distribution network; performing short-time scale rolling optimization scheduling on the basis of MPC of the active power distribution network according to an optimization result of the long-time scale optimization scheduling of the active power distribution network. By using a model prediction control method, taking the long-time scale optimization scheduling result as a reference, and performing short-time scale rolling correction, the optimization scheduling of the active power distribution network is achieved, thereby reducing unfavorable influences of prediction precision of a distributed power supply and a low-voltage load on the optimization scheduling.

Active power distribution network multi-time scale coordinated optimization scheduling method and storage medium

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Beijing, China

Liqiang Zhao