Zhejiang University

Alibaba Group Holding Limited

Enzymaster (ningbo) Bio-engineering Co., Ltd.

State Grid Zhejiang Electric Power Company Limited

Jun Huang

Weiwei Xu

Haibin Chen

Yuan Cheng

Lei Chen

Xin Guo

Qiang Yang

Jun Lyu

Ye Li

Weifeng Xu

Chunyan Liu

Shufeng Dong

Linka Yu

Yifeng Zhou

Jingen Song

Changjiang Lv

Yihui Sun

Chongyou Xu

Lehe Mei

Sheng Hu

Weirui Zhao

Hongpeng Wang

Fangfang Fan

A method and device for optimal power flow calculation in power systems based on generalized Nash equilibrium are disclosed. The method comprises: determining first optimal power flow model corresponding to distribution network and second optimal power flow model corresponding to each microgrid; constructing a third optimal power flow model based on the first optimal power flow model, each second optimal power flow model and boundary coupling constraint condition; determining generalized Nash equilibrium solution corresponding to the third optimal power flow model; determining generalized Nash equilibrium constraint condition corresponding to collaborative objective function and the Nash equilibrium solution; determining fourth optimal power flow model corresponding to the collaborative objective function, with constraint condition including the generalized Nash equilibrium constraint condition; determining Pareto optimal solution corresponding to the fourth optimal power flow model to determine an optimal power flow. Accordingly, effectiveness of optimization management is improved.

Method and device for optimal power flow calculation in power systems based on generalized Nash equilibrium

The present invention discloses a ω-transaminase mutant obtained through DNA synthetic shuffling combined mutation. The ω-transaminase mutant is obtained through point mutation of a wild type ω-transaminase from. The amino acid sequence of the wild type ω-transaminase is shown in SEQ ID NO: 1. The mutation site of the ω-transaminase mutant is any one of: (1) F115L-H210N-M150C-M280C; (2) F115L-H210N; (3) F115L-H210N-E253A-I295V; (4) I77L-F115L-E133A-H210N-N245D; (5) I77L-Q97E-F115L-L118T-E253A-G292D; (6) I77L-E133A-N245D-G292D; and (7) H210N-N245D-E253A-G292D. According to the present invention, forward mutations obtained in the previous stage are randomly combined through a DNA synthetic shuffling combined mutation method. It is verified through experiments that this method can effectively improve the probability of forward mutation and increase experimental efficiency and feasibility, and is capable of obtaining mutant enzymes with thermodynamic stability remarkably superior to that of wild enzymes via screening.

ω-Transaminase mutant obtained by DNA synthetic shuffling combined mutation and use

A system is provided for performing image processing. During operation, the system can obtain a video stream of a target object, and obtain, from the video stream, a plurality of images ranked according to a first sequence. The target object can be, e.g., a damage vehicle. The system can then extract a set of feature vectors corresponding to the plurality of images. The system may sequentially provide the set of feature vectors to a trained damage assessment image judgment model. Next, the system can apply the trained damage assessment image judgment model to determine whether each image in the plurality of images corresponds to a damage assessment image.

System and method for performing image processing based on a damage assessment image judgement model

Growing community of inventors

Hangzhou, China

Jun Huang