Suchergebnisse

In the renewable energy consumption scheduling, due to the large fluctuation of wind power output, the renewable energy consumption rate is low, and the energy consumption scheduling effect is poor. Therefore, a new renewable energy consumption scheduling model based on quantitative feedback theory is designed. For the first time, calculate the output response of wind power generation, obtain the output change rate of the wind farm at the time scale, and determine the response curve of wind power generation according to the power generation process is divided into three stages: the initial stage, the peak stage and the end stage, and the response output during the peak period, so as to obtain the transfer rate of output during the peak period. Build a mathematical model of renewable energy power generation, calculate the output state of wind power generation, and analyze the output characteristics of renewable energy storage system; Secondly, the objective weight coefficient of renewable energy consumption is determined by using quantitative feedback theory, the objective function of renewable energy consumption is constructed, the power injected by parameter nodes is determined, the quantitative feedback controller is designed by using loop shaping technology, the control structure of two degrees of freedom is determined, the objective function of renewable energy consumption is constructed, and the constraint range of renewable energy consumption capacity is determined according to static constraints such as current constraints and voltage constraints; Then, the quantitative feedback theoretical controller is designed, the input and output transfer functions of the consumption system are determined, and the renewable energy consumption scheduling model is constructed. The renewable energy consumption scheduling model is solved by particle swarm optimization through a variety of index parameters in the renewable energy consumption determined by the QFT controller. The experimental results show that the proposed model can effectively improve the renewable energy consumption rate and optimize the consumption scheduling effect.

Tingyan Zhang,1,2,* Yanfeng Lin,2,3,* Peihan Li,2,3,* Zhonghong Li,2 Xiong Liu,2 Jinhui Li,2 Lizhong Li,2 Kaiying Wang,2,3 Zhongdong Liu,1 Peng Li,2 Lanfen Lu,4 Hongyan Wang1 1School of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou, People's Republic of China; 2Chinese PLA Center for Disease Control and Prevention, Beijing, People's Republic of China; 3Academy of Military Medical Sciences, Beijing, People's Republic of China; 4Department of Laboratory Diagnosis, Sun Yat-Sen University Affiliated Zhongshan Hospital, Zhongshan, Guangdong, People's Republic of China*These authors contributed equally to this workCorrespondence: Peng Li; Hongyan Wang Email jiekenlee@126.com; 18623717897@163.comBackground: The emergence of multidrug-resistant Citrobacter freundii poses daunting challenges to the treatment of clinical infections. The purpose of this study was to characterize the genome of a C. freundii strain with an IncX3 plasmid encoding both the blaNDM-1 and blaSHV-12 genes.Methods: Strain ZT01-0079 was isolated from a clinical urine sample. The Vitek2 system was used for identification and antimicrobial susceptibility testing. The presence of blaNDM-1 was detected by PCR and sequencing. Conjugation experiments and Southern blotting were performed to determine the transferability of the blaNDM-1- carrying plasmid. Nanopore and Illumina sequencing were performed to better understand the genomic characteristics of the strain.Results: Strain ZT01-0079 was identified as C. freundii, and the coexistence of blaNDM-1 and multiple drug resistance genes was confirmed. Electrophoresis and Southern blotting showed that blaNDM-1 was located on a ∼ 53kb IncX3 plasmid. The NDM-1-encoding plasmid was successfully transferred at a frequency of 1.68× 10− 3. Both the blaNDM-1 and blaSHV-12 genes were located on the self-transferable IncX3 plasmid.Conclusion: The rapid spread of the IncX3 plasmid highlights the importance of continuous monitoring of the prevalence of NDM-1-encoding Enterobacteriaceae. Mutations of existing carbapenem resistance genes will bring formidable challenges to clinical treatment.Keywords: C. freundii, whole-genome sequencing, genomics analysis